# Efficacy of Workout Programs

As a researcher I would like to evaluate the effectiveness of the workout programs purchased. This done by comparing the weight loss for a sample size of n=1 person who uses the bean workout program for a period of 5 days a week, and for a sample size of n=1 who uses the x90u workout program for a period of 3 days a week. At the end of a month, I will compare the weight loss test results for both programs.

o Addressed using an independent- or related-samples t test. For this situation or problem:

o Clearly identify the independent and dependent variables you would study.

o Determine whether an independent-samples or related-samples t test is most appropriate and why.

o Generate the statistical null and alternative hypotheses.

o Describe what information the effect size would tell you that the probability value would not tell you.

o Using realistic numbers for values of degrees of freedom, sample size, and t statistic, report hypothetical results in a few sentences.

https://brainmass.com/statistics/students-t-test/efficacy-of-workout-programs-127053

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As a researcher I would like to evaluate the effectiveness of the workout programs purchased. This done by comparing the weight loss for a sample size of n=1 person who uses the bean workout program for a period of 5 days a week, and for a sample size of n=1 who uses the x90u workout program for a period of 3 days a week. At the end of a month, I will compare the weight loss test results for both programs.

o Addressed using an independent- or related-samples t test. For this situation or problem:

o Clearly identify the independent and dependent variables you would study.

The independent variable is the weight loss program. The ...

#### Solution Summary

This solution looks at the hypothesis testing on the efficacy of workout programs by identifying the independent and dependent variable, choosing the correct test, using a null and alternative hypothesis and looks at other variables that could affect the study. It also provides an example calculation for the t-test and compares it with the p-value to determine to either accept or reject the null hypothesis.