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AI explanation
As the number of Associates degrees awarded in Mathematics and statistics goes up, so does the nation's love for all things numerical. This newfound passion for counting leads people to realize that dollar stores are not only economical but also prime spots for mathematical calculations. From calculating the best deals to budgeting for their next shopping spree, it all adds up to a surge in interest for dollar stores. So, the next time you're searching for a dollar store near you, just remember, it's not just about the savings, it's about the mathemagical experience that awaits!Model: dalle-3
Prompt: Generate an image in the style of Cubism depicting a cozy study room. In the center, there's a desk with a laptop displaying a Google search for 'dollar store near me'. In the background, a framed certificate for Associates degrees awarded in Mathematics and Statistics proudly hangs on the wall. The scene should have fragmented shapes and perspectives, inspired by Cubism, to represent the various angles and dimensions of the cozy study room. The depiction should include only scenes, people, and objects, it should not include text or speech bubbles.
This image generation prompt was also generated by AI, using the following sequence:
Model: gpt-3.5-turbo-1106
System prompt: You select one of a few potential scene descriptors that seems to go along with the variables described. You respond only with the scene descriptions provided and say nothing else.
User prompt: Here are two variables: Associates degrees awarded in Mathematics and statistics and Google searches for 'dollar store near me'. Given these, which of the following image style descriptions seems most appropriate? Pick the one that seems to be related to one of the variables at hand. Please respond with only one of the following potential descriptions: A TIME magazine cover image An image that looks like it is a scene from 'Star Wars' Hyper-realistic Cubism Cubism
ChatGPT: Cubism
Model: gpt-3.5-turbo-1106
System prompt: You describe simple visual scenes that depict the two variables stated. You combine both variables into one scene.
User prompt: Please describe a visual scene that prominently depicts both Associates degrees awarded in Mathematics and statistics and Google searches for 'dollar store near me' together. Keep the description simple.
ChatGPT: In a cozy study room, a framed certificate for Associates degrees awarded in Mathematics and statistics hangs proudly on the wall. Meanwhile, someone is sitting at a desk with a laptop, their screen displaying a Google search for 'dollar store near me'.
Model: gpt-3.5-turbo-1106
System prompt: You write and improve image generation prompts for DALLE-3. You maintain the same subjects, but enhance the visuals.
User prompt: Please respond with an image generation prompt that would be likely to create an interesting visual using DALLE-3, using the following style: [ Cubism ] and depicting this scene: In a cozy study room, a framed certificate for Associates degrees awarded in Mathematics and statistics hangs proudly on the wall. Meanwhile, someone is sitting at a desk with a laptop, their screen displaying a Google search for 'dollar store near me'. Keep the visual depiction simple. Do not include any words or speech bubbles.
ChatGPT: Generate an image in the style of Cubism depicting a cozy study room. In the center, there's a desk with a laptop displaying a Google search for 'dollar store near me'. In the background, a framed certificate for Associates degrees awarded in Mathematics and Statistics proudly hangs on the wall. The scene should have fragmented shapes and perspectives, inspired by Cubism, to represent the various angles and dimensions of the cozy study room.
*Variations in the User Prompts from chart to chart are just the result of random number generation in Python. I wrote a few arrays of various styles and methods to ask questions to change up the results. Every time this site writes an explanation or generates an image, the script picks from each at random.
I sequence the requests into multiple prompts because I find GPT 3.5 to perform much better with short, well-managed contexts. Thus, I track the context directly in Python and only ask ChatGPT targeted questions.
System prompt: You provide humorous responses in the form of plausible sounding explanations for correlations. You assume the correlation is causative for the purpose of the explanation even if it is ridiculous. You do not chat with the user, you only reply with the causal connection explanation and nothing else.
User prompt: Please make up a funny explanation for how an increase in Associates degrees awarded in Mathematics and statistics caused dollar store near me (Google searches for 'dollar store near me') to increase.\Make it sound serious until the end.
AI academic paper
Counting the Costs: Connecting Associates Degrees in Math and Statistics with Dollar Store Searches The Journal of Comedic Economics Jan 2024 Reminder: This paper is AI-generated. Not real! |
Model: gpt-3.5-turbo-1106
System prompt: You are a dry but witty academic researcher. You speak in the passive voice, and your writing sounds like it belongs in a medical or economics journal.You write titles and abstracts of goofy academic research papers.
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, and add unexpected twists in your writing.
Please draft the title and abstract of an academic research paper presenting the findings of the connection between Associates degrees awarded in Mathematics and statistics and Google searches for 'dollar store near me'. You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences.
Make the title a clever pun.
Your research team used data from National Center for Education Statistics and Google Trends to assess this nagging question. You found a correlation coefficient of 0.9912195 and p < 0.01 for 2011 to 2021.
Please respond in this format (replace "Lorem ipsum dolor sit" with your title and abstract)
[[TITLE]]
Lorem ipsum dolor sit
[[ABSTRACT]]
Lorem ipsum dolor sit
ChatGPT:
[[TITLE]]
Counting the Costs: Connecting Associates Degrees in Math and Statistics with Dollar Store Searches
[[ABSTRACT]]
This study explores the surprising link between the number of Associates degrees awarded in Mathematics and statistics and Google searches for 'dollar store near me'. Researchers examined data from the National Center for Education Statistics and Google Trends to uncover this unexpected correlation, aiming to shed light on the economic behaviors associated with mathematical education.
Our analysis revealed a remarkably high correlation coefficient of 0.9912195 for the period spanning 2011 to 2021, with a statistical significance of p < 0.01. This strong association suggests that a penchant for mathematical and statistical knowledge may lead individuals to seek out cost-effective shopping options, such as dollar stores, providing a whole new meaning to the phrase "number crunching."
In conclusion, it seems that the pursuit of math and statistics education may be indicative of a frugal mindset, as evidenced by the heightened interest in dollar stores. As researchers, we marvel at the unexpected ways in which academia and economics intersect, adding a new dimension to the phrase "math adds up."
Model: gpt-3.5-turbo-1106
System prompt: You are a dry but witty academic researcher. You speak in the passive voice, and your writing sounds like it belongs in a medical or economics journal.You draft the introduction section of an academic research paper.
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, or add unexpected twists in your writing.
Please make up the introduction section of an academic research paper presenting the findings of the connection between Associates degrees awarded in Mathematics and statistics and Google searches for 'dollar store near me'. You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences. Sneak in some jokes and clever puns about science, research, statistics, and the variables.
Here is the title and abstract of the paper:
[[TITLE]]
Counting the Costs: Connecting Associates Degrees in Math and Statistics with Dollar Store Searches
[[ABSTRACT]]
This study explores the surprising link between the number of Associates degrees awarded in Mathematics and statistics and Google searches for 'dollar store near me'. Researchers examined data from the National Center for Education Statistics and Google Trends to uncover this unexpected correlation, aiming to shed light on the economic behaviors associated with mathematical education.
Our analysis revealed a remarkably high correlation coefficient of 0.9912195 for the period spanning 2011 to 2021, with a statistical significance of p < 0.01. This strong association suggests that a penchant for mathematical and statistical knowledge may lead individuals to seek out cost-effective shopping options, such as dollar stores, providing a whole new meaning to the phrase "number crunching."
In conclusion, it seems that the pursuit of math and statistics education may be indicative of a frugal mindset, as evidenced by the heightened interest in dollar stores. As researchers, we marvel at the unexpected ways in which academia and economics intersect, adding a new dimension to the phrase "math adds up."
-------
Your response should start like this:
[[INTRODUCTION]]
ChatGPT:
[[INTRODUCTION]]
The pursuit of knowledge in mathematics and statistics has long been regarded as an important aspect of academic and professional development, with its influence evident in various facets of everyday life. However, the unexpected connection between individuals earning Associates degrees in these disciplines and their Google searches for 'dollar store near me' provides a fresh perspective on the potential economic implications of mathematical education. It seems as though the age-old question of "What's in store?" may have a more literal answer than previously thought.
As researchers, we've always enjoyed crunching numbers and uncovering unexpected correlations, but this particular association between mathematical education and dollar store searches has left us counting our blessings for stumbling upon such an intriguing relationship. It seems that the pursuit of numerical proficiency may lead individuals to seek out bargains in more ways than one, exemplifying the principle that "where there's a will, there's a wave function."
This study seeks to delve into an unexplored realm where academia and consumer behavior intersect, shedding light on the potential economic motivations of individuals with a background in mathematics and statistics. It appears that a deeper comprehension of numbers may indeed translate to an affinity for hunting down a good deal, leading us to ponder the relevance of the adage "show me the money – and the nearest dollar store."
The aim of this research is to unravel the underlying drivers of this unlikely association, and to explore the implications for educational and economic policies. Is it mere coincidence, or is there a genuine connection between the calculus of mathematical education and the quest for affordable commodities? As the saying goes, "it all adds up," and we are determined to uncover the integral components that contribute to this intriguing correlation.
Stay tuned as we embark on an enlightening journey into the intersection of mathematical education and consumer behavior, as we attempt to "factor" in the unexpected variables that make this correlation a solution worth solving.
Model: gpt-3.5-turbo-1106
System prompt: You are a dry but witty academic researcher. You speak in the passive voice, and your writing sounds like it belongs in a medical or economics journal.You draft a literature review section of an academic research paper, that starts out dry for the first few sentences but then becomes hilarious and goofy.
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, or add unexpected twists in your writing.
Please make up a literature review section of an academic research paper presenting the findings of the connection between Associates degrees awarded in Mathematics and statistics and Google searches for 'dollar store near me'. You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences.
Speak in the present tense for this section (the authors find...), as is common in academic research paper literature reviews. Name the sources in a format similar to this: In "Book," the authors find lorem and ipsum.
Make up the lorem and ipsum part, but make it sound related to the topic at hand.
Start by naming serious-sounding studies by authors like Smith, Doe, and Jones - but then quickly devolve. Name some real non-fiction books that would be related to the topic. Then name some real fiction books that sound like they could be related. Then you might move on to cartoons and children's shows that you watched for research.
Here is the title and abstract of the paper:
[[TITLE]]
Counting the Costs: Connecting Associates Degrees in Math and Statistics with Dollar Store Searches
[[ABSTRACT]]
This study explores the surprising link between the number of Associates degrees awarded in Mathematics and statistics and Google searches for 'dollar store near me'. Researchers examined data from the National Center for Education Statistics and Google Trends to uncover this unexpected correlation, aiming to shed light on the economic behaviors associated with mathematical education.
Our analysis revealed a remarkably high correlation coefficient of 0.9912195 for the period spanning 2011 to 2021, with a statistical significance of p < 0.01. This strong association suggests that a penchant for mathematical and statistical knowledge may lead individuals to seek out cost-effective shopping options, such as dollar stores, providing a whole new meaning to the phrase "number crunching."
In conclusion, it seems that the pursuit of math and statistics education may be indicative of a frugal mindset, as evidenced by the heightened interest in dollar stores. As researchers, we marvel at the unexpected ways in which academia and economics intersect, adding a new dimension to the phrase "math adds up."
-------
And here is the introduction section that led to this literature review:
[[INTRODUCTION]]
The pursuit of knowledge in mathematics and statistics has long been regarded as an important aspect of academic and professional development, with its influence evident in various facets of everyday life. However, the unexpected connection between individuals earning Associates degrees in these disciplines and their Google searches for 'dollar store near me' provides a fresh perspective on the potential economic implications of mathematical education. It seems as though the age-old question of "What's in store?" may have a more literal answer than previously thought.
As researchers, we've always enjoyed crunching numbers and uncovering unexpected correlations, but this particular association between mathematical education and dollar store searches has left us counting our blessings for stumbling upon such an intriguing relationship. It seems that the pursuit of numerical proficiency may lead individuals to seek out bargains in more ways than one, exemplifying the principle that "where there's a will, there's a wave function."
This study seeks to delve into an unexplored realm where academia and consumer behavior intersect, shedding light on the potential economic motivations of individuals with a background in mathematics and statistics. It appears that a deeper comprehension of numbers may indeed translate to an affinity for hunting down a good deal, leading us to ponder the relevance of the adage "show me the money – and the nearest dollar store."
The aim of this research is to unravel the underlying drivers of this unlikely association, and to explore the implications for educational and economic policies. Is it mere coincidence, or is there a genuine connection between the calculus of mathematical education and the quest for affordable commodities? As the saying goes, "it all adds up," and we are determined to uncover the integral components that contribute to this intriguing correlation.
Stay tuned as we embark on an enlightening journey into the intersection of mathematical education and consumer behavior, as we attempt to "factor" in the unexpected variables that make this correlation a solution worth solving.
-------
Your response should start like this:
[[LITERATURE REVIEW]]
ChatGPT:
[[LITERATURE REVIEW]]
The unexpected connection between the pursuit of mathematical and statistical knowledge and the propensity to search for 'dollar store near me' has piqued the interest of researchers and economists alike. Smith and Doe (2018) conducted a comprehensive analysis of data from the National Center for Education Statistics and found a strong positive correlation between the number of Associates degrees awarded in Mathematics and statistics and the volume of Google searches for dollar stores in the surrounding areas, reaffirming the surprising nature of this association.
However, such an intriguing correlation prompts one to wonder - what could be the underlying reasons for this statistical phenomenon? Could it be that individuals with a proficiency in numbers and calculations possess a keen eye for budget-friendly shopping, leading them to seek out dollar stores with a calculating demeanor? Jones (2020) suggests that the attraction to dollar stores among individuals with a mathematical background may stem from a proclivity for arithmetic precision and an appreciation for the value of a good deal, thereby contributing to the correlation found in the study.
In a similar vein, the relationship between mathematical education and consumer behavior has been a topic of interest in non-fiction works such as "Economics and Numeracy" by Anderson (2021) and "The Frugal Mathemagician's Guide to Shopping" by Wilson (2019). These analyses provide a more holistic understanding of the potential implications of mathematical education on economic decision-making, shedding light on the multifaceted connections between academia and everyday consumer actions.
Moreover, the unexpected correlation unearthed in our study brings to mind the fictional works of "The Statistical Shopper's Almanac" by Brown (2015) and "Calculating Discounts: A Tale of Mathematical Shopping" by Taylor (2018), which, albeit fictional, humorously demonstrate the intersection of math education and the pursuit of cost-effective shopping. These imaginative works prompt a lighthearted exploration of the potential motivations behind the correlation, intertwining mathematical prowess with the art of bargain hunting.
In addition, the authors deemed it pertinent to expand their research beyond traditional academic sources and delve into unsuspecting realms, such as the realm of children's television programming. The analysis observed in the popular animated series "Number Crunchers" and "Math Mysteries with Professor Penny Pincher" offered unexpected insights into the potential influence of mathematical education on behavior, reinforcing the playful yet thought-provoking nature of this correlation.
Consequently, while the connection between Associates degrees in Mathematics and statistics and Google searches for 'dollar store near me' may seem unorthodox at first glance, the literature reveals a multifaceted and whimsical exploration of this unexpected association. As the adage goes, "when it comes to math and shopping, the possibilities are infinite."
Model: gpt-3.5-turbo-1106
System prompt: You are a dry but witty academic researcher. You speak in the passive voice, and your writing sounds like it belongs in a medical or economics journal.You draft the methodology section of an academic research paper.
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, or add unexpected twists in your writing.
Please make up the methodology section of an academic research paper presenting the findings of the connection between Associates degrees awarded in Mathematics and statistics and Google searches for 'dollar store near me'. You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences. Sneak in some jokes and clever puns about science, research, statistics, and the variables.
Your research team collected data from all across the internet, but mostly just used information from National Center for Education Statistics and Google Trends . You used data from 2011 to 2021
Make up the research methods you don't know. Make them a bit goofy and convoluted.
Here is the title, abstract, and introduction of the paper:
[[TITLE]]
Counting the Costs: Connecting Associates Degrees in Math and Statistics with Dollar Store Searches
[[ABSTRACT]]
This study explores the surprising link between the number of Associates degrees awarded in Mathematics and statistics and Google searches for 'dollar store near me'. Researchers examined data from the National Center for Education Statistics and Google Trends to uncover this unexpected correlation, aiming to shed light on the economic behaviors associated with mathematical education.
Our analysis revealed a remarkably high correlation coefficient of 0.9912195 for the period spanning 2011 to 2021, with a statistical significance of p < 0.01. This strong association suggests that a penchant for mathematical and statistical knowledge may lead individuals to seek out cost-effective shopping options, such as dollar stores, providing a whole new meaning to the phrase "number crunching."
In conclusion, it seems that the pursuit of math and statistics education may be indicative of a frugal mindset, as evidenced by the heightened interest in dollar stores. As researchers, we marvel at the unexpected ways in which academia and economics intersect, adding a new dimension to the phrase "math adds up."
[[INTRODUCTION]]
The pursuit of knowledge in mathematics and statistics has long been regarded as an important aspect of academic and professional development, with its influence evident in various facets of everyday life. However, the unexpected connection between individuals earning Associates degrees in these disciplines and their Google searches for 'dollar store near me' provides a fresh perspective on the potential economic implications of mathematical education. It seems as though the age-old question of "What's in store?" may have a more literal answer than previously thought.
As researchers, we've always enjoyed crunching numbers and uncovering unexpected correlations, but this particular association between mathematical education and dollar store searches has left us counting our blessings for stumbling upon such an intriguing relationship. It seems that the pursuit of numerical proficiency may lead individuals to seek out bargains in more ways than one, exemplifying the principle that "where there's a will, there's a wave function."
This study seeks to delve into an unexplored realm where academia and consumer behavior intersect, shedding light on the potential economic motivations of individuals with a background in mathematics and statistics. It appears that a deeper comprehension of numbers may indeed translate to an affinity for hunting down a good deal, leading us to ponder the relevance of the adage "show me the money – and the nearest dollar store."
The aim of this research is to unravel the underlying drivers of this unlikely association, and to explore the implications for educational and economic policies. Is it mere coincidence, or is there a genuine connection between the calculus of mathematical education and the quest for affordable commodities? As the saying goes, "it all adds up," and we are determined to uncover the integral components that contribute to this intriguing correlation.
Stay tuned as we embark on an enlightening journey into the intersection of mathematical education and consumer behavior, as we attempt to "factor" in the unexpected variables that make this correlation a solution worth solving.
-------
Your response should start like this:
[[METHODOLOGY]]
ChatGPT:
[[METHODOLOGY]]
The dataset for this study was obtained from the National Center for Education Statistics, providing detailed and comprehensive information on the number of Associates degrees conferred in Mathematics and statistics from 2011 to 2021. Google Trends data was also utilized to capture the frequency of searches for 'dollar store near me' over the same time period, creating a robust dataset with a wealth of variables ripe for statistical exploration. Our team was reminded of a classic math pun during this data collection phase - "Parallel lines have so much in common. It's a shame they'll never meet."
To analyze the relationship between Associates degrees awarded in Mathematics and statistics and the Google searches for 'dollar store near me', we employed a series of statistical methods. First, we calculated the Pearson correlation coefficient to quantify the strength and direction of the linear relationship between the two variables. This analysis was accompanied by a scatterplot, a graph as endearing as our favorite statistics professor's quirky sense of humor.
Furthermore, to ascertain the statistical significance of the association, we performed a two-tailed t-test to evaluate whether the correlation between these variables could have occurred by chance. This method allowed us to determine the likelihood of obtaining the observed correlation coefficient if the true correlation were zero, providing us with a p-value that may be considered significant evidence against the null hypothesis. It feels fitting to mention here that "Statisticians, like artists, have the bad habit of falling in love with their models."
As a supplementary analysis, we employed a time-series analysis to observe any temporal patterns or trends in the data. This involved decomposing the time series into its constituent components to examine any underlying seasonality, trend, and randomness. The results of this analysis were as enlightening as the moment a light bulb goes off over a researcher's head.
Finally, we conducted a regression analysis to model the relationship between Associates degrees awarded in Mathematics and statistics and the frequency of searches for 'dollar store near me', allowing us to evaluate the predictive power of mathematical education on consumer behavior. This process revealed a model as robust as a sturdy bridge connecting two disparate disciplines. The statistical methods used in this study made for a toolset as versatile as a Swiss Army knife, allowing us to dissect the intricate relationship between educational attainment and consumer behavior with precision and finesse.
Model: gpt-3.5-turbo-1106
System prompt: You are a dry but witty academic researcher. You speak in the passive voice, and your writing sounds like it belongs in a medical or economics journal.You draft the results section of an academic research paper. You speak in the past tense (you found...).
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, or add unexpected twists in your writing.
Please make up the results section of an academic research paper presenting the findings of the connection between Associates degrees awarded in Mathematics and statistics and Google searches for 'dollar store near me'. You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences. Sneak in some jokes and clever puns about science, research, statistics, and the variables.
Your research team collected data from all across the internet, but mostly just used information from National Center for Education Statistics and Google Trends .
For the time period 2011 to 2021, you found a correlation 0.9912195, r-squared of 0.9825161, and p < 0.01.
One figure will be included. The figure (Fig. 1) is a scatterplot showing the strong correlation between the two variables. You don't need to specify where; I will add the figure.
Here is the title and abstract of the paper:
[[TITLE]]
Counting the Costs: Connecting Associates Degrees in Math and Statistics with Dollar Store Searches
[[ABSTRACT]]
This study explores the surprising link between the number of Associates degrees awarded in Mathematics and statistics and Google searches for 'dollar store near me'. Researchers examined data from the National Center for Education Statistics and Google Trends to uncover this unexpected correlation, aiming to shed light on the economic behaviors associated with mathematical education.
Our analysis revealed a remarkably high correlation coefficient of 0.9912195 for the period spanning 2011 to 2021, with a statistical significance of p < 0.01. This strong association suggests that a penchant for mathematical and statistical knowledge may lead individuals to seek out cost-effective shopping options, such as dollar stores, providing a whole new meaning to the phrase "number crunching."
In conclusion, it seems that the pursuit of math and statistics education may be indicative of a frugal mindset, as evidenced by the heightened interest in dollar stores. As researchers, we marvel at the unexpected ways in which academia and economics intersect, adding a new dimension to the phrase "math adds up."
-------
And here is the methodology section that led to this result:
[[METHODOLOGY]]
The pursuit of knowledge in mathematics and statistics has long been regarded as an important aspect of academic and professional development, with its influence evident in various facets of everyday life. However, the unexpected connection between individuals earning Associates degrees in these disciplines and their Google searches for 'dollar store near me' provides a fresh perspective on the potential economic implications of mathematical education. It seems as though the age-old question of "What's in store?" may have a more literal answer than previously thought.
As researchers, we've always enjoyed crunching numbers and uncovering unexpected correlations, but this particular association between mathematical education and dollar store searches has left us counting our blessings for stumbling upon such an intriguing relationship. It seems that the pursuit of numerical proficiency may lead individuals to seek out bargains in more ways than one, exemplifying the principle that "where there's a will, there's a wave function."
This study seeks to delve into an unexplored realm where academia and consumer behavior intersect, shedding light on the potential economic motivations of individuals with a background in mathematics and statistics. It appears that a deeper comprehension of numbers may indeed translate to an affinity for hunting down a good deal, leading us to ponder the relevance of the adage "show me the money – and the nearest dollar store."
The aim of this research is to unravel the underlying drivers of this unlikely association, and to explore the implications for educational and economic policies. Is it mere coincidence, or is there a genuine connection between the calculus of mathematical education and the quest for affordable commodities? As the saying goes, "it all adds up," and we are determined to uncover the integral components that contribute to this intriguing correlation.
Stay tuned as we embark on an enlightening journey into the intersection of mathematical education and consumer behavior, as we attempt to "factor" in the unexpected variables that make this correlation a solution worth solving.
-------
Your response should start like this:
[[RESULTS]]
ChatGPT:
[[RESULTS]]
The data analysis revealed a remarkably high correlation coefficient of 0.9912195 between the number of Associates degrees awarded in Mathematics and statistics and the volume of Google searches for 'dollar store near me' over the period of 2011 to 2021. This strong correlation raises the age-old question of whether those who excel in math are also adept at counting their pennies.
The r-squared value of 0.9825161 further emphasizes the robustness of the relationship, indicating that an overwhelming 98.25% of the variability in dollar store searches can be explained by the number of mathematics and statistics degrees awarded. It appears that when it comes to finding the nearest dollar store, individuals with a mathematical background are quite adept at drawing a "line" towards the best bargains.
The p-value of less than 0.01 provides compelling evidence to reject the null hypothesis of no relationship between these variables, prompting us to reflect on the plain and simple fact that this correlation is no mere statistical coincidence. It seems that those with a fondness for mathematical pursuits are also keen on calculating the best deals in town.
Figure 1 illustrates the scatterplot depicting the strong positive correlation between the number of Associates degrees awarded in Mathematics and statistics and the frequency of Google searches for 'dollar store near me'. The scatterplot appears to suggest that as the number of degrees awarded increases, so does the interest in locating the closest dollar store, leaving us to ponder whether math literacy paves the way for financial frugality.
Model: gpt-3.5-turbo-1106
System prompt: You are a dry but witty academic researcher. You speak in the passive voice, and your writing sounds like it belongs in a medical or economics journal.You draft the discussion section of an academic research paper.
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, or add unexpected twists in your writing.
Please make up the discussion section of an academic research paper presenting the findings of the connection between Associates degrees awarded in Mathematics and statistics and Google searches for 'dollar store near me'. You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences. Sneak in some jokes and clever puns about science, research, statistics, and the variables.
Limit your response to 500 tokens.
Here are the title, abstract, literature review, and results sections. Please harken back to 1-2 of the goofy items in the literature review, but pretend to take them completely seriously. Discuss how your results supported the prior research.
Do not write a conclusion. I will add a conclusion after this.
[[TITLE]]
Counting the Costs: Connecting Associates Degrees in Math and Statistics with Dollar Store Searches
[[ABSTRACT]]
This study explores the surprising link between the number of Associates degrees awarded in Mathematics and statistics and Google searches for 'dollar store near me'. Researchers examined data from the National Center for Education Statistics and Google Trends to uncover this unexpected correlation, aiming to shed light on the economic behaviors associated with mathematical education.
Our analysis revealed a remarkably high correlation coefficient of 0.9912195 for the period spanning 2011 to 2021, with a statistical significance of p < 0.01. This strong association suggests that a penchant for mathematical and statistical knowledge may lead individuals to seek out cost-effective shopping options, such as dollar stores, providing a whole new meaning to the phrase "number crunching."
In conclusion, it seems that the pursuit of math and statistics education may be indicative of a frugal mindset, as evidenced by the heightened interest in dollar stores. As researchers, we marvel at the unexpected ways in which academia and economics intersect, adding a new dimension to the phrase "math adds up."
[[LITERATURE REVIEW]]
The unexpected connection between the pursuit of mathematical and statistical knowledge and the propensity to search for 'dollar store near me' has piqued the interest of researchers and economists alike. Smith and Doe (2018) conducted a comprehensive analysis of data from the National Center for Education Statistics and found a strong positive correlation between the number of Associates degrees awarded in Mathematics and statistics and the volume of Google searches for dollar stores in the surrounding areas, reaffirming the surprising nature of this association.
However, such an intriguing correlation prompts one to wonder - what could be the underlying reasons for this statistical phenomenon? Could it be that individuals with a proficiency in numbers and calculations possess a keen eye for budget-friendly shopping, leading them to seek out dollar stores with a calculating demeanor? Jones (2020) suggests that the attraction to dollar stores among individuals with a mathematical background may stem from a proclivity for arithmetic precision and an appreciation for the value of a good deal, thereby contributing to the correlation found in the study.
In a similar vein, the relationship between mathematical education and consumer behavior has been a topic of interest in non-fiction works such as "Economics and Numeracy" by Anderson (2021) and "The Frugal Mathemagician's Guide to Shopping" by Wilson (2019). These analyses provide a more holistic understanding of the potential implications of mathematical education on economic decision-making, shedding light on the multifaceted connections between academia and everyday consumer actions.
Moreover, the unexpected correlation unearthed in our study brings to mind the fictional works of "The Statistical Shopper's Almanac" by Brown (2015) and "Calculating Discounts: A Tale of Mathematical Shopping" by Taylor (2018), which, albeit fictional, humorously demonstrate the intersection of math education and the pursuit of cost-effective shopping. These imaginative works prompt a lighthearted exploration of the potential motivations behind the correlation, intertwining mathematical prowess with the art of bargain hunting.
In addition, the authors deemed it pertinent to expand their research beyond traditional academic sources and delve into unsuspecting realms, such as the realm of children's television programming. The analysis observed in the popular animated series "Number Crunchers" and "Math Mysteries with Professor Penny Pincher" offered unexpected insights into the potential influence of mathematical education on behavior, reinforcing the playful yet thought-provoking nature of this correlation.
Consequently, while the connection between Associates degrees in Mathematics and statistics and Google searches for 'dollar store near me' may seem unorthodox at first glance, the literature reveals a multifaceted and whimsical exploration of this unexpected association. As the adage goes, "when it comes to math and shopping, the possibilities are infinite."
[[RESULTS]]
The data analysis revealed a remarkably high correlation coefficient of 0.9912195 between the number of Associates degrees awarded in Mathematics and statistics and the volume of Google searches for 'dollar store near me' over the period of 2011 to 2021. This strong correlation raises the age-old question of whether those who excel in math are also adept at counting their pennies.
The r-squared value of 0.9825161 further emphasizes the robustness of the relationship, indicating that an overwhelming 98.25% of the variability in dollar store searches can be explained by the number of mathematics and statistics degrees awarded. It appears that when it comes to finding the nearest dollar store, individuals with a mathematical background are quite adept at drawing a "line" towards the best bargains.
The p-value of less than 0.01 provides compelling evidence to reject the null hypothesis of no relationship between these variables, prompting us to reflect on the plain and simple fact that this correlation is no mere statistical coincidence. It seems that those with a fondness for mathematical pursuits are also keen on calculating the best deals in town.
Figure 1 illustrates the scatterplot depicting the strong positive correlation between the number of Associates degrees awarded in Mathematics and statistics and the frequency of Google searches for 'dollar store near me'. The scatterplot appears to suggest that as the number of degrees awarded increases, so does the interest in locating the closest dollar store, leaving us to ponder whether math literacy paves the way for financial frugality.
-------
Your response should start like this:
[[DISCUSSION]]
ChatGPT:
[[DISCUSSION]]
The results of the analysis unequivocally support the prior research findings on the connection between the number of Associates degrees awarded in Mathematics and statistics and the frequency of Google searches for 'dollar store near me'. The robust correlation coefficient of 0.9912195 affirms that there is indeed a strong positive relationship between these variables. It seems that those who demonstrate proficiency in mathematical and statistical knowledge also exhibit a penchant for seeking out economical shopping options. This finding provides a new dimension to the phrase "number crunching," as it appears to extend beyond numerical calculations into the realm of budget-conscious consumer behavior.
The results of this study prompt us to reconsider the age-old question of whether individuals with mathematical acumen are also adept at counting their pennies. It appears that the pursuit of mathematical and statistical education is indeed indicative of a frugal mindset, as evidenced by the heightened interest in dollar stores. This unexpected correlation adds a whole new angle to the phrase "math adds up" – not only in the academic sense but also in the context of fiscal prudence.
The high r-squared value of 0.9825161 further validates the robustness of the relationship between Associates degrees awarded in Mathematics and statistics and the volume of Google searches for 'dollar store near me', indicating that an overwhelming 98.25% of the variability in dollar store searches can be explained by the number of mathematics and statistics degrees awarded. It seems that individuals with a mathematical background are not just adept at drawing a "line" in figures but also in navigating their way towards the best bargains, proving that for them, it's all about the "calculus" of a good deal.
Furthermore, the statistically significant p-value of less than 0.01 provides compelling evidence to reject the null hypothesis of no relationship between these variables. This leads us to reflect on the fact that this correlation is no mere statistical coincidence but a meaningful indication of the influence of mathematical education on consumer behavior. It seems that those with a fondness for mathematical pursuits are not just inclined towards numerical precision but also possess a keen ability to calculate the best deals in town. This finding humorously reinforces the validity of the saying, "math makes cents."
In conclusion, the unexpected and robust correlation uncovered in this study has shed light on the previously unexplored intersection between mathematical education and consumer behavior. This study provides a lighthearted yet thought-provoking exploration of the potential implications of mathematical knowledge on economic decision-making, reaffirming the multifaceted and whimsical nature of this unexpected association. As the proverbial saying goes, "when it comes to math and shopping, the possibilities are infinite."
Model: gpt-3.5-turbo-1106
System prompt: You are a dry but witty academic researcher. You speak in the passive voice, and your writing sounds like it belongs in a medical or economics journal.You draft the discussion section of goofy academic research papers that sounds like it belongs based on the title and abstract provided.
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, or add unexpected twists in your writing.
Please make up a short conclusion of an academic research paper presenting the findings of the connection between Associates degrees awarded in Mathematics and statistics and Google searches for 'dollar store near me'. You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences. Sneak in some jokes and clever puns about science, research, statistics, and the variables.
Limit your response to 300 tokens. At the very end, assert that no more research is needed in this area.
Here are the title, abstract, introduction, and results sections.
[[TITLE]]
Counting the Costs: Connecting Associates Degrees in Math and Statistics with Dollar Store Searches
[[ABSTRACT]]
This study explores the surprising link between the number of Associates degrees awarded in Mathematics and statistics and Google searches for 'dollar store near me'. Researchers examined data from the National Center for Education Statistics and Google Trends to uncover this unexpected correlation, aiming to shed light on the economic behaviors associated with mathematical education.
Our analysis revealed a remarkably high correlation coefficient of 0.9912195 for the period spanning 2011 to 2021, with a statistical significance of p < 0.01. This strong association suggests that a penchant for mathematical and statistical knowledge may lead individuals to seek out cost-effective shopping options, such as dollar stores, providing a whole new meaning to the phrase "number crunching."
In conclusion, it seems that the pursuit of math and statistics education may be indicative of a frugal mindset, as evidenced by the heightened interest in dollar stores. As researchers, we marvel at the unexpected ways in which academia and economics intersect, adding a new dimension to the phrase "math adds up."
[[INTRDUCTION]]
The pursuit of knowledge in mathematics and statistics has long been regarded as an important aspect of academic and professional development, with its influence evident in various facets of everyday life. However, the unexpected connection between individuals earning Associates degrees in these disciplines and their Google searches for 'dollar store near me' provides a fresh perspective on the potential economic implications of mathematical education. It seems as though the age-old question of "What's in store?" may have a more literal answer than previously thought.
As researchers, we've always enjoyed crunching numbers and uncovering unexpected correlations, but this particular association between mathematical education and dollar store searches has left us counting our blessings for stumbling upon such an intriguing relationship. It seems that the pursuit of numerical proficiency may lead individuals to seek out bargains in more ways than one, exemplifying the principle that "where there's a will, there's a wave function."
This study seeks to delve into an unexplored realm where academia and consumer behavior intersect, shedding light on the potential economic motivations of individuals with a background in mathematics and statistics. It appears that a deeper comprehension of numbers may indeed translate to an affinity for hunting down a good deal, leading us to ponder the relevance of the adage "show me the money – and the nearest dollar store."
The aim of this research is to unravel the underlying drivers of this unlikely association, and to explore the implications for educational and economic policies. Is it mere coincidence, or is there a genuine connection between the calculus of mathematical education and the quest for affordable commodities? As the saying goes, "it all adds up," and we are determined to uncover the integral components that contribute to this intriguing correlation.
Stay tuned as we embark on an enlightening journey into the intersection of mathematical education and consumer behavior, as we attempt to "factor" in the unexpected variables that make this correlation a solution worth solving.
[[RESULTS]]
The data analysis revealed a remarkably high correlation coefficient of 0.9912195 between the number of Associates degrees awarded in Mathematics and statistics and the volume of Google searches for 'dollar store near me' over the period of 2011 to 2021. This strong correlation raises the age-old question of whether those who excel in math are also adept at counting their pennies.
The r-squared value of 0.9825161 further emphasizes the robustness of the relationship, indicating that an overwhelming 98.25% of the variability in dollar store searches can be explained by the number of mathematics and statistics degrees awarded. It appears that when it comes to finding the nearest dollar store, individuals with a mathematical background are quite adept at drawing a "line" towards the best bargains.
The p-value of less than 0.01 provides compelling evidence to reject the null hypothesis of no relationship between these variables, prompting us to reflect on the plain and simple fact that this correlation is no mere statistical coincidence. It seems that those with a fondness for mathematical pursuits are also keen on calculating the best deals in town.
Figure 1 illustrates the scatterplot depicting the strong positive correlation between the number of Associates degrees awarded in Mathematics and statistics and the frequency of Google searches for 'dollar store near me'. The scatterplot appears to suggest that as the number of degrees awarded increases, so does the interest in locating the closest dollar store, leaving us to ponder whether math literacy paves the way for financial frugality.
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Your response should start like this:
[[CONCLUSION]]
ChatGPT:
[[CONCLUSION]]
In conclusion, the findings of this study highlight a remarkably strong correlation between the number of Associates degrees awarded in Mathematics and statistics and the volume of Google searches for 'dollar store near me'. It appears that those skilled in the art of numbers may also have a penchant for seeking out economical shopping options, providing a whole new meaning to the phrase "number crunching." It seems that when it comes to finding bargains, these individuals don't just calculate percentages, they also calculate savings - talk about a "prime" example of frugality!
As we reflect on these unexpected results, it is evident that the pursuit of mathematical and statistical education may be indicative of a thrifty mindset, leading individuals to 'sum' monies saved at dollar stores. This correlation certainly adds a new dimension to the phrase "math adds up," as it seems to prove that math education is equated not only with analytical skills but also with savvy consumer behavior. It leaves us to 'integrate' this newfound understanding into the broader context of economic decision-making and resource allocation, proving that the world of statistics and shopping is a "binomial" that never fails to surprise.
Therefore, it may be safe to say that further research in this area is unnecessary. After all, we've 'counted' the correlation and 'multiplied' our understanding. The connection is clear, and no more 'data points' are needed to understand that mathematicians may indeed have a knack for 'counting their dollars' while also counting their numbers!
Model: gpt-3.5-turbo-1106
System prompt: You provide fictional names of academic journals. You say nothing else, and you do not chat with the user.
User prompt: Please provide the name of a funny but plausible sounding research, scientific, or academic journal that would publish a paper entited Counting the Costs: Connecting Associates Degrees in Math and Statistics with Dollar Store Searches. Respond only with the name of a fictional academic journal.
ChatGPT:
The Journal of Comedic Economics
Model: gpt-3.5-turbo-1106
System prompt: You provide fictional names of nonprofit research organizations and associations. You say nothing else, and you do not chat with the user.
User prompt: Please provide the name of a funny but plausible sounding nonprofit, academic, or scientific association or organization that would sponsor research that resulted in a paper entited Counting the Costs: Connecting Associates Degrees in Math and Statistics with Dollar Store Searches. Respond only with the name of a fictional organization.
ChatGPT:
The Society for Mathematical Economics and Budgetary Analysis
Model: gpt-3.5-turbo-1106
System prompt: You provide potential search keywords separated by commas. You say nothing else, and you do not chat with the user.
User prompt: Please provide potential search keywords for a paper titled Counting the Costs: Connecting Associates Degrees in Math and Statistics with Dollar Store Searches with an abstract of This study explores the surprising link between the number of Associates degrees awarded in Mathematics and statistics and Google searches for 'dollar store near me'. Researchers examined data from the National Center for Education Statistics and Google Trends to uncover this unexpected correlation, aiming to shed light on the economic behaviors associated with mathematical education.
Our analysis revealed a remarkably high correlation coefficient of 0.9912195 for the period spanning 2011 to 2021, with a statistical significance of p < 0.01. This strong association suggests that a penchant for mathematical and statistical knowledge may lead individuals to seek out cost-effective shopping options, such as dollar stores, providing a whole new meaning to the phrase "number crunching."
In conclusion, it seems that the pursuit of math and statistics education may be indicative of a frugal mindset, as evidenced by the heightened interest in dollar stores. As researchers, we marvel at the unexpected ways in which academia and economics intersect, adding a new dimension to the phrase "math adds up.
ChatGPT:
Associates degrees, Mathematics, Statistics, Dollar store searches, Google Trends, National Center for Education Statistics, Economic behaviors, Correlation coefficient, Statistical significance, Frugal mindset, Cost-effective shopping options
*There is a bunch of Python happening behind the scenes to turn this prompt sequence into a PDF.
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Data details
Associates degrees awarded in Mathematics and statisticsDetailed data title: Associate's degrees conferred by postsecondary institutions with a field of study of Mathematics and statistics
Source: National Center for Education Statistics
See what else correlates with Associates degrees awarded in Mathematics and statistics
Google searches for 'dollar store near me'
Detailed data title: Relative volume of Google searches for 'dollar store near me' (Worldwide, without quotes)
Source: Google Trends
Additional Info: Relative search volume (not absolute numbers)
See what else correlates with Google searches for 'dollar store near me'
Correlation is a measure of how much the variables move together. If it is 0.99, when one goes up the other goes up. If it is 0.02, the connection is very weak or non-existent. If it is -0.99, then when one goes up the other goes down. If it is 1.00, you probably messed up your correlation function.
r^{2} = 0.9825161 (Coefficient of determination)
This means 98.3% of the change in the one variable (i.e., Google searches for 'dollar store near me') is predictable based on the change in the other (i.e., Associates degrees awarded in Mathematics and statistics) over the 11 years from 2011 through 2021.
p < 0.01, which is statistically significant(Null hypothesis significance test)
The p-value is 3.2E-9. 0.0000000032194239717876388000
The p-value is a measure of how probable it is that we would randomly find a result this extreme. More specifically the p-value is a measure of how probable it is that we would randomly find a result this extreme if we had only tested one pair of variables one time.
But I am a p-villain. I absolutely did not test only one pair of variables one time. I correlated hundreds of millions of pairs of variables. I threw boatloads of data into an industrial-sized blender to find this correlation.
Who is going to stop me? p-value reporting doesn't require me to report how many calculations I had to go through in order to find a low p-value!
On average, you will find a correaltion as strong as 0.99 in 3.2E-7% of random cases. Said differently, if you correlated 310,614,572 random variables You don't actually need 310 million variables to find a correlation like this one. I don't have that many variables in my database. You can also correlate variables that are not independent. I do this a lot.
p-value calculations are useful for understanding the probability of a result happening by chance. They are most useful when used to highlight the risk of a fluke outcome. For example, if you calculate a p-value of 0.30, the risk that the result is a fluke is high. It is good to know that! But there are lots of ways to get a p-value of less than 0.01, as evidenced by this project.
In this particular case, the values are so extreme as to be meaningless. That's why no one reports p-values with specificity after they drop below 0.01.
Just to be clear: I'm being completely transparent about the calculations. There is no math trickery. This is just how statistics shakes out when you calculate hundreds of millions of random correlations.
with the same 10 degrees of freedom, Degrees of freedom is a measure of how many free components we are testing. In this case it is 10 because we have two variables measured over a period of 11 years. It's just the number of years minus ( the number of variables minus one ), which in this case simplifies to the number of years minus one.
you would randomly expect to find a correlation as strong as this one.
[ 0.97, 1 ] 95% correlation confidence interval (using the Fisher z-transformation)
The confidence interval is an estimate the range of the value of the correlation coefficient, using the correlation itself as an input. The values are meant to be the low and high end of the correlation coefficient with 95% confidence.
This one is a bit more complciated than the other calculations, but I include it because many people have been pushing for confidence intervals instead of p-value calculations (for example: NEJM. However, if you are dredging data, you can reliably find yourself in the 5%. That's my goal!
All values for the years included above: If I were being very sneaky, I could trim years from the beginning or end of the datasets to increase the correlation on some pairs of variables. I don't do that because there are already plenty of correlations in my database without monkeying with the years.
Still, sometimes one of the variables has more years of data available than the other. This page only shows the overlapping years. To see all the years, click on "See what else correlates with..." link above.
2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 | |
Associates degrees awarded in Mathematics and statistics (Degrees awarded) | 1644 | 1529 | 1801 | 2148 | 2697 | 3027 | 3454 | 4135 | 4632 | 4851 | 4842 |
Google searches for 'dollar store near me' (Rel. search volume) | 0 | 1 | 3.25 | 5.75 | 16.0833 | 30.75 | 45.8333 | 56.8333 | 69.1667 | 72.5 | 66.9167 |
Why this works
- Data dredging: I have 25,153 variables in my database. I compare all these variables against each other to find ones that randomly match up. That's 632,673,409 correlation calculations! This is called “data dredging.” Instead of starting with a hypothesis and testing it, I instead abused the data to see what correlations shake out. It’s a dangerous way to go about analysis, because any sufficiently large dataset will yield strong correlations completely at random.
- Lack of causal connection: There is probably
Because these pages are automatically generated, it's possible that the two variables you are viewing are in fact causually related. I take steps to prevent the obvious ones from showing on the site (I don't let data about the weather in one city correlate with the weather in a neighboring city, for example), but sometimes they still pop up. If they are related, cool! You found a loophole.
no direct connection between these variables, despite what the AI says above. This is exacerbated by the fact that I used "Years" as the base variable. Lots of things happen in a year that are not related to each other! Most studies would use something like "one person" in stead of "one year" to be the "thing" studied. - Observations not independent: For many variables, sequential years are not independent of each other. If a population of people is continuously doing something every day, there is no reason to think they would suddenly change how they are doing that thing on January 1. A simple
Personally I don't find any p-value calculation to be 'simple,' but you know what I mean.
p-value calculation does not take this into account, so mathematically it appears less probable than it really is. - Y-axis doesn't start at zero: I truncated the Y-axes of the graph above. I also used a line graph, which makes the visual connection stand out more than it deserves.
Nothing against line graphs. They are great at telling a story when you have linear data! But visually it is deceptive because the only data is at the points on the graph, not the lines on the graph. In between each point, the data could have been doing anything. Like going for a random walk by itself!
Mathematically what I showed is true, but it is intentionally misleading. Below is the same chart but with both Y-axes starting at zero.
Try it yourself
You can calculate the values on this page on your own! Try running the Python code to see the calculation results. Step 1: Download and install Python on your computer.Step 2: Open a plaintext editor like Notepad and paste the code below into it.
Step 3: Save the file as "calculate_correlation.py" in a place you will remember, like your desktop. Copy the file location to your clipboard. On Windows, you can right-click the file and click "Properties," and then copy what comes after "Location:" As an example, on my computer the location is "C:\Users\tyler\Desktop"
Step 4: Open a command line window. For example, by pressing start and typing "cmd" and them pressing enter.
Step 5: Install the required modules by typing "pip install numpy", then pressing enter, then typing "pip install scipy", then pressing enter.
Step 6: Navigate to the location where you saved the Python file by using the "cd" command. For example, I would type "cd C:\Users\tyler\Desktop" and push enter.
Step 7: Run the Python script by typing "python calculate_correlation.py"
If you run into any issues, I suggest asking ChatGPT to walk you through installing Python and running the code below on your system. Try this question:
"Walk me through installing Python on my computer to run a script that uses scipy and numpy. Go step-by-step and ask me to confirm before moving on. Start by asking me questions about my operating system so that you know how to proceed. Assume I want the simplest installation with the latest version of Python and that I do not currently have any of the necessary elements installed. Remember to only give me one step per response and confirm I have done it before proceeding."
# These modules make it easier to perform the calculation
import numpy as np
from scipy import stats
# We'll define a function that we can call to return the correlation calculations
def calculate_correlation(array1, array2):
# Calculate Pearson correlation coefficient and p-value
correlation, p_value = stats.pearsonr(array1, array2)
# Calculate R-squared as the square of the correlation coefficient
r_squared = correlation**2
return correlation, r_squared, p_value
# These are the arrays for the variables shown on this page, but you can modify them to be any two sets of numbers
array_1 = np.array([1644,1529,1801,2148,2697,3027,3454,4135,4632,4851,4842,])
array_2 = np.array([0,1,3.25,5.75,16.0833,30.75,45.8333,56.8333,69.1667,72.5,66.9167,])
array_1_name = "Associates degrees awarded in Mathematics and statistics"
array_2_name = "Google searches for 'dollar store near me'"
# Perform the calculation
print(f"Calculating the correlation between {array_1_name} and {array_2_name}...")
correlation, r_squared, p_value = calculate_correlation(array_1, array_2)
# Print the results
print("Correlation Coefficient:", correlation)
print("R-squared:", r_squared)
print("P-value:", p_value)
Reuseable content
You may re-use the images on this page for any purpose, even commercial purposes, without asking for permission. The only requirement is that you attribute Tyler Vigen. Attribution can take many different forms. If you leave the "tylervigen.com" link in the image, that satisfies it just fine. If you remove it and move it to a footnote, that's fine too. You can also just write "Charts courtesy of Tyler Vigen" at the bottom of an article.You do not need to attribute "the spurious correlations website," and you don't even need to link here if you don't want to. I don't gain anything from pageviews. There are no ads on this site, there is nothing for sale, and I am not for hire.
For the record, I am just one person. Tyler Vigen, he/him/his. I do have degrees, but they should not go after my name unless you want to annoy my wife. If that is your goal, then go ahead and cite me as "Tyler Vigen, A.A. A.A.S. B.A. J.D." Otherwise it is just "Tyler Vigen."
When spoken, my last name is pronounced "vegan," like I don't eat meat.
Full license details.
For more on re-use permissions, or to get a signed release form, see tylervigen.com/permission.
Download images for these variables:
- High resolution line chart
The image linked here is a Scalable Vector Graphic (SVG). It is the highest resolution that is possible to achieve. It scales up beyond the size of the observable universe without pixelating. You do not need to email me asking if I have a higher resolution image. I do not. The physical limitations of our universe prevent me from providing you with an image that is any higher resolution than this one.
If you insert it into a PowerPoint presentation (a tool well-known for managing things that are the scale of the universe), you can right-click > "Ungroup" or "Create Shape" and then edit the lines and text directly. You can also change the colors this way.
Alternatively you can use a tool like Inkscape. - High resolution line chart, optimized for mobile
- Alternative high resolution line chart
- Scatterplot
- Portable line chart (png)
- Portable line chart (png), optimized for mobile
- Line chart for only Associates degrees awarded in Mathematics and statistics
- Line chart for only Google searches for 'dollar store near me'
- AI-generated correlation image
- The spurious research paper: Counting the Costs: Connecting Associates Degrees in Math and Statistics with Dollar Store Searches
You're the correlation whisperer we needed!
Correlation ID: 1783 · Black Variable ID: 1244 · Red Variable ID: 1375