Question

How does increasing sample variance affect your likelihood of rejecting the null hypothesis and the measure of effect size?

Answer 1

Increasing the variance each

Sample will increase the size of the estimated standard error of the difference of the means. This decreases the

Effective size of the observer t which makes it harder to reject Null hypothesis... Effective size is determined by the alpha level ..this is always the same as the test statistic, .....which determines significance of a test result.....

In this way increasing samplevariance affect your likelihood of rejecting the null hypothesis and the measure of effect size...

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