Given a dataset where as one variable increases, the other variable tends to decrease in a nearly linear fashion, which of the following values is most likely to be the correlation coefficient for this data?
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 is not an example of correlation analysis?
A
Calculating the relationship between hours studied and exam scores using Pearson's
B
Testing whether the mean of a single sample differs from a known value using a one-sample -test
C
Assessing the association between height and weight using Spearman's rank correlation
D
Measuring the linear association between two variables using covariance
Verified step by step guidance1
Understand that correlation analysis is used to measure the strength and direction of the relationship between two variables.
Identify that Pearson's r, Spearman's rank correlation, and covariance are all methods used to assess relationships or associations between two variables.
Recognize that a one-sample t-test is a hypothesis test used to compare the mean of a single sample to a known value, which does not involve measuring the relationship between two variables.
Conclude that the option involving the one-sample t-test is not an example of correlation analysis because it focuses on mean comparison rather than association between variables.
Therefore, the correct answer is the one-sample t-test, as it does not fit the definition or purpose of correlation analysis.
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