4. Gravetter/Wallnau/Forzano, Essentials - Chapter 11 - End-of-chapter question 15 A repeated-measures study produces a mean difference of M = 4 with a variance of 36. Use a two-tailed hypothesis test with a = 0.05 to determine whether the sample is sufficient to reject the null hypothesis if n = 9? O Reject the null hypothesis, there is no substantial effect or correlation. O Reject the null hypothesis, there is a substantial effect or correlation. O Fail to reject the null hypothesis, there is a substantial effect or correlation. O Fail to reject the null hypothesis, there is no substantial effect or correlation. Save & Continue Continue without saving
4. Gravetter/Wallnau/Forzano, Essentials - Chapter 11 - End-of-chapter question 15 A repeated-measures study produces a mean difference of M = 4 with a variance of 36. Use a two-tailed hypothesis test with a = 0.05 to determine whether the sample is sufficient to reject the null hypothesis if n = 9? O Reject the null hypothesis, there is no substantial effect or correlation. O Reject the null hypothesis, there is a substantial effect or correlation. O Fail to reject the null hypothesis, there is a substantial effect or correlation. O Fail to reject the null hypothesis, there is no substantial effect or correlation. Save & Continue Continue without saving
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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Transcribed Image Text:**Gravetter/Wallnau/Forzano, Essentials - Chapter 11 - End-of-chapter question 15**
A repeated-measures study produces a mean difference of M = 4 with a variance of 36. Use a two-tailed hypothesis test with α = 0.05 to determine whether the sample is sufficient to reject the null hypothesis if n = 9.
Options:
- Reject the null hypothesis; there is no substantial effect or correlation.
- Reject the null hypothesis; there is a substantial effect or correlation.
- Fail to reject the null hypothesis; there is a substantial effect or correlation.
- Fail to reject the null hypothesis; there is no substantial effect or correlation.
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