1. If other factors are held constant, how does increasing the number of scores in each sample affect the value of the independent samples t-statistic (also known as the t calculated or t observed) and the likelihood of rejecting the null hypothesis? 2. If other factors are held constant, how does increasing the sample variance affect the value of the independent samples t-statistic (also known as the t calculated or t observed) and the likelihood of rejecting the null hypothesis?
1. If other factors are held constant, how does increasing the number of scores in each sample affect the value of the independent samples t-statistic (also known as the t calculated or t observed) and the likelihood of rejecting the null hypothesis? 2. If other factors are held constant, how does increasing the sample variance affect the value of the independent samples t-statistic (also known as the t calculated or t observed) and the likelihood of rejecting the null hypothesis?
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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1,2. Please help with these 2 questions and please show all work, thank you so much!!
Expert Solution
Step 1
1) An increase in the number of scores in each sample:
The size of the two samples influences the magnitude of the estimated standard error in the denominator of the t statistic. As sample size increases, the value of t also increases, and the likelihood of rejecting Ho increases; however, there is little or no effect on measures of effect size.
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