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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.

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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.

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