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Which of the following statements is NOT correct about the hypothesis test of comparing two correlation coefficients? O a. As the sample size increases, the critical value for the z-test will become smaller in absolute value O b. Table D (transformation of r to z) shows that when r is smaller, the corresponding z is very close to r O c. For the computation, the two correlation coefficients should be converted into z-scores first Od. Because r distribution is severely skewed, we can't directly use r for the hypothesis test

Which of the following statements is NOT correct about the hypothesis test of comparing two correlation coefficients? O a. As the sample size increases, the critical value for the z-test will become smaller in absolute value O b. Table D (transformation of r to z) shows that when r is smaller, the corresponding z is very close to r O c. For the computation, the two correlation coefficients should be converted into z-scores first Od. Because r distribution is severely skewed, we can't directly use r for the hypothesis test

MATLAB: An Introduction with Applications
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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Which of the following statements is NOT correct about the hypothesis test of comparing two correlation coefficients? O a. As the sample size increases, the critical value for the z-test will become smaller in absolute value O b. Table D (transformation of r to z) shows that when r is smaller, the corresponding z is very close to r O c. For the computation, the two correlation coefficients should be converted into z-scores first O d. Because r distribution is severely skewed, we can't directly use r for the hypothesis test
Transcribed Image Text:Which of the following statements is NOT correct about the hypothesis test of comparing two correlation coefficients? O a. As the sample size increases, the critical value for the z-test will become smaller in absolute value O b. Table D (transformation of r to z) shows that when r is smaller, the corresponding z is very close to r O c. For the computation, the two correlation coefficients should be converted into z-scores first O d. Because r distribution is severely skewed, we can't directly use r for the hypothesis test
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