5-3 Assignment: Means: Test of Hypothesis (1-Sample) link as follows youtu.be/b5gWwCVb7go?si=7php0Jjd1PZ6BvmC

Hypothesis Testing for Regional Real Estate Company 1

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Hypothesis Testing for Regional Real Estate Company

[Your Name]

Southern New Hampshire University

Introduction

[Describe the purpose of this analysis. Briefly describe how you generated your random sample of 750 houses.]

Hypothesis Test Setup

[Define your population parameter.]

[Write the null and alternative hypotheses.]

[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

[Provide the descriptive statistics of the sample (sample size, mean, median, and standard deviation).]

[Provide a histogram of the sample.]

[Summarize your sample by writing a sentence describing the shape, center, and spread of your sample.]

[Check whether the assumptions to perform your identified test have been met.]

[Identify the test significance level. For example, α = .05]

Calculations

[Calculate the sample mean and standard error.]

[Determine the appropriate test statistic, then calculate the test statistic. Note: This calculation is (mean – target)/standard error. In this case, the mean is your regional mean (Pacific), and the target is 280.]

[Calculate the p value using one of the following tests:]

Excel Function

Type of Test

=T.DIST.RT([test statistic], [degree of freedom])

Right-tailed

=T.DIST([test statistic], [degree of freedom], 1)

Left-tailed

=T.DIST.2T([test statistic], [degree of freedom])

Two-tailed

[Note: 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

[Compare the relationship between the p value and significance level.]

[Decide to reject or fail to reject the null hypothesis.]

Conclusion

[Explain in one paragraph how your test decision relates to your hypothesis and whether your conclusions are statistically significant.]