Learn Before
Distinguishing Correlation from Causation: Television and Exams
When analyzing the relationship between variables like television viewing and exam scores, it is crucial to distinguish between correlation and causation. The observation that "students who watch more television perform more poorly on their exams" describes a negative correlation. However, statements such as "watching too much television leads to poor exam performance" or "viewing television interferes with a student’s ability to prepare" are causal claims. Correlational data alone does not support these causal conclusions.
0
1
Tags
Psychology @ OpenStax
Ch.2 Psychological Research - Psychology @ OpenStax
Introduction to Psychology @ OpenStax Course
OpenStax
OpenStax Psychology (2nd ed.) Textbook
Psychology
Social Science
Empirical Science
Science
Related
Direction of Correlations
A city analyst observes that neighborhoods with a higher number of public libraries also report, on average, a higher median household income. Based solely on this observed statistical association, which of the following is the most accurate conclusion?
Analyzing a Faulty Conclusion
Evaluating a Public Health Proposal
Interpreting Economic Data
A study reveals a strong positive statistical association between the monthly sales of ice cream and the number of drowning incidents at a beach resort. This finding proves that eating ice cream before swimming increases the risk of drowning.
Match each statistical concept with the real-world scenario that best illustrates it.
An economist observes that in years when the average price of coffee beans increases, the average quantity of tea sold in cafes also increases. What type of statistical relationship does this observation describe between the price of coffee and the quantity of tea sold?
Evaluating a Causal Claim
An automotive industry analyst observes that as the age of a specific model of car increases, its average resale value consistently decreases. This statistical relationship, where an increase in one variable is associated with a decrease in another, is described as a ______ correlation.
A researcher studying elementary school children finds a strong positive statistical association between their shoe size and their scores on a standardized reading test. As shoe size increases, reading scores tend to be higher. Which of the following statements provides the most logical analysis of this finding?
Correlation Coefficient
Predictive Value of Correlation
Figure 5.1: Inflation and US Presidential Election Outcomes (1912–2020)
Strong Correlation Between Exchange Rate Depreciation and Inflation (2009-2019)
Negative Correlation Between Central Bank Independence and Inflation (OECD, 1962-1990) [Figure E5.1]
Empirical Link Between Relatively Stable Exchange Rates and Low Inflation
Nonlinear Relationship
Distinguishing Correlation from Causation: Television and Exams
Scatterplots
Linear Relationship
What does a negative correlation indicate about the relationship between two variables?