1.Describe the method you would choose for sampling from the population in your study. Explain specifically how you would show this; for example, chart reviews, surveys, every third e-mail address, and so forth.

2.Determine how you could affect the central tendency of your data

Comparing the incident rate of higher tests scores in college students who exercise for 30 min a day compared to students who do not exercise. The students who do not exercise are the control group and the students who exercise 30 minutes a day are the experimental group.

Independent variable: 30 min of exercise per day

Dependent variable: Incidence rate

H0 (null hypothesis): Exercising for 30 min a day improves students test scores

H1 (alternative hypothesis): Exercising for 30 min a day has no effect on test scores.

Explain what level of significance/confidence interval you would use.

I would use a95% confidence levelfor this study as this is the most appropriate and it is the most common value chosen for majority of studies.

Explain what p-values would cause you to accept or reject the null hypothesis.

As our Confidence level is 95%, alpha value is 0.05. We compare the p value with alpha value. If the obtained pvalue is greater than 0.05, wemay accept the Null Hypothesisat 5% level of significance. If pvalue is less than 0.05, weReject the Null Hypothesisat 5% level of significance

Determine how you could you affect central tendency of your data/increase the power

To increase power, I will increase size of my study sample.