Null hypothesis and the measure of effect size


A sample of n = 16 individuals is selected from a population with m = 30. After a treatment is administered to the individuals, the sample mean is found to be M = 33.

a. If the sample variance is s2 = 16, then conduct a hypothesis test to evaluate the significance of the treatment effect and calculate r2 to measure the size of the treatment effect. Use a two-tailed test with a = .05.

b. If the sample variance is s2 = 64, then conduct a hypothesis test to evaluate the significance of the treatment effect and calculate r2 to measure the size of the treatment effect. Use a two-tailed test with a = .05.

c. Describe how increasing variance affects the likelihood of rejecting the null hypothesis and the measure of effect size.

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Basic Statistics: Null hypothesis and the measure of effect size
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