A sample is selected from a population with μ= 50. After a treatment is administered to the individuals in the sample, the mean is found to be M= 55 and the variance is s2= 64. a. For a sample of n = 4 scores, conduct a hypothesis test to evaluate the significance of the treatment effect and calculate Cohen’s d to measure the size of the treatment effect. Use a two-tailed test with α = .05. b. For a sample of n = 16 scores, conduct a hypothesis test to evaluate the significance of the treatment effect and calculate Cohen’s d to measure the size of the treatment effect. Use a two-tailed test with α = .05.1.State hypotheses 2.Locate critical region using the t-table, df, and alpha3.Calculate t-statistic 4.Make a decision regarding Ho (null hypothesis) c. Describe how increasing the size of the sample affects the likelihood of rejecting the null hypothesis and the measure of effect size.
A sample is selected from a population with μ= 50. After a treatment is administered to the individuals in the sample, the mean is found to be M= 55 and the variance is s2= 64. a. For a sample of n = 4 scores, conduct a hypothesis test to evaluate the significance of the treatment effect and calculate Cohen’s d to measure the size of the treatment effect. Use a two-tailed test with α = .05. b. For a sample of n = 16 scores, conduct a hypothesis test to evaluate the significance of the treatment effect and calculate Cohen’s d to measure the size of the treatment effect. Use a two-tailed test with α = .05.1.State hypotheses 2.Locate critical region using the t-table, df, and alpha3.Calculate t-statistic 4.Make a decision regarding Ho (null hypothesis) c. Describe how increasing the
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