Applied Stats- Hypothesis

Introduction
[Include in this section a brief overview, including the purpose of this analysis.]
Setup
[Define your population parameter.]
[Write the and alternative hypotheses. Note: Remember, the salesperson believes that his sales are higher.]
[Specify the name of the test you will use and identify whether it is a left-tailed, right-tailed, or two-tailed test.]
Data Analysis Preparations
[Describe the sample.]
[Provide the descriptive statistics of the sample.]
[Provide a histogram of the sample.]
[Specify whether the assumptions or conditions to perform your identified test have been met.]
[Identify the appropriate test statistic, then calculate the test statistic and identify your significance level.]
Calculations
[Calculate the p value using one of the following tests:
=T.DIST.RT([test statistic], [degree of freedom]) 
=T.DIST([test statistic], [degree of freedom], 1)
=T.DIST.2T([test statistic], [degree of freedom]) 
Note: For right-tailed, use the T.DIST.RT function in Excel, left-tailed is the T.DIST function, and two-tailed is the T.DIST.2T function. The degree of freedom is calculated by subtracting 1 from your sample size.]
[Use the normal curve graph as a reference to describe where the p value and test statistic would be placed.]
Test Decision
[Discuss how the p value relates to the significance level.]
[Compare the p value and significance level, and make a decision to reject or fail to reject the hypothesis.]
Conclusion
[Explain in one paragraph how your test decision relates to your hypothesis and whether your conclusions are statistically significant.]

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