Which of the following values could not represent a correlation coefficient?
Table of contents
- 1. Intro to Stats and Collecting Data1h 14m
- 2. Describing Data with Tables and Graphs1h 55m
- 3. Describing Data Numerically2h 5m
- 4. Probability2h 16m
- 5. Binomial Distribution & Discrete Random Variables3h 6m
- 6. Normal Distribution and Continuous Random Variables2h 11m
- 7. Sampling Distributions & Confidence Intervals: Mean3h 23m
- Sampling Distribution of the Sample Mean and Central Limit Theorem19m
- Distribution of Sample Mean - Excel23m
- Introduction to Confidence Intervals15m
- Confidence Intervals for Population Mean1h 18m
- Determining the Minimum Sample Size Required12m
- Finding Probabilities and T Critical Values - Excel28m
- Confidence Intervals for Population Means - Excel25m
- 8. Sampling Distributions & Confidence Intervals: Proportion1h 25m
- 9. Hypothesis Testing for One Sample3h 29m
- 10. Hypothesis Testing for Two Samples4h 50m
- Two Proportions1h 13m
- Two Proportions Hypothesis Test - Excel28m
- Two Means - Unknown, Unequal Variance1h 3m
- Two Means - Unknown Variances Hypothesis Test - Excel12m
- Two Means - Unknown, Equal Variance15m
- Two Means - Unknown, Equal Variances Hypothesis Test - Excel9m
- Two Means - Known Variance12m
- Two Means - Sigma Known Hypothesis Test - Excel21m
- Two Means - Matched Pairs (Dependent Samples)42m
- Matched Pairs Hypothesis Test - Excel12m
- 11. Correlation1h 24m
- 12. Regression1h 50m
- 13. Chi-Square Tests & Goodness of Fit2h 21m
- 14. ANOVA1h 57m
11. Correlation
Correlation Coefficient
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Join thousands of students who trust us to help them ace their exams!Watch the first videoMultiple Choice
Which of the following situations best describes the concept of causation rather than just correlation?
A
There is a strong relationship between ice cream sales and the number of people who go swimming.
B
There is a positive association between shoe size and reading ability in children.
C
A survey finds that people who own more books tend to have higher incomes.
D
An increase in the number of hours studied directly leads to higher exam scores.
Verified step by step guidance1
Step 1: Understand the difference between correlation and causation. Correlation means two variables have a relationship or association, but one does not necessarily cause the other. Causation means one variable directly affects or causes a change in another.
Step 2: Review each situation to identify whether it shows just a relationship (correlation) or a direct cause-and-effect link (causation).
Step 3: For the ice cream sales and swimming example, recognize that both may increase due to a third factor (like hot weather), so this is correlation, not causation.
Step 4: For shoe size and reading ability, note that larger shoe size and better reading ability may both be related to age, so this is also correlation, not causation.
Step 5: For the hours studied and exam scores example, identify that increasing study hours directly influences exam performance, which is a clear example of causation.
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