4 A researcher obtained a correlation of +.52 between variable A and variable B. What is the best interpretation for this correlation? As variable A decreases, variable B increases. Scores on A can be perfectly predicted by scores on B. As variable A increases, variable B also increases. As variable A increases, variable B decreases. 000 5 If the null hypothesis is true, then we expect the F to be 0 in a one-way ANOVA. True False 7 6 A one-way ANOVA has an F-test with df of (3,38), which indicates that there were a total of 42 participants. True False Chi-square tests make stricter assumptions than t-tests, which make them more powerful. True False
4 A researcher obtained a correlation of +.52 between variable A and variable B. What is the best interpretation for this correlation? As variable A decreases, variable B increases. Scores on A can be perfectly predicted by scores on B. As variable A increases, variable B also increases. As variable A increases, variable B decreases. 000 5 If the null hypothesis is true, then we expect the F to be 0 in a one-way ANOVA. True False 7 6 A one-way ANOVA has an F-test with df of (3,38), which indicates that there were a total of 42 participants. True False Chi-square tests make stricter assumptions than t-tests, which make them more powerful. True False
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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A researcher obtained a correlation of +.52 between variable A and variable B. What is the best interpretation for this correlation?
As variable A decreases, variable B increases.
Scores on A can be perfectly predicted by scores on B.
As variable A increases, variable B also increases.
As variable A increases, variable B decreases.
5
If the null hypothesis is true, then we expect the F to be 0 in a one-way ANOVA.
True
False
7
A one-way ANOVA has an F-test with df of (3,38), which indicates that there were a total of 42 participants.
True
False
Chi-square tests make stricter assumptions than t-tests, which make them more powerful.
True
False
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