Regional Real Estate

You have been hired by the Regional Real Estate Company to help them analyze real estate data. One of the company’s Pacific region salespeople just returned to the office with a newly designed advertisement. It states that the average cost per square foot of his home sales is above the average cost per square foot in the Pacific region. He wants you to make sure he can make that statement before approving the use of the advertisement. The average cost per square foot of his home sales is $275. In order to test his claim you collect a sample of 1001 home sales for the Pacific region. Design a hypothesis test and interpret the results using significance level α = .05. Use the House Listing Price by Region document to help support your work on this assignment. You may also use the Descriptive Statistics in Excel and Creating Histograms in Excel tutorials for support. Specifically you must address the following rubric criteria using the Module Five Assignment Template. Submit the completed Module Five Assignment Template as a Word document that includes your response and supportive charts. Requirements: 4 pages | .doc file Setup: Define your population parameter including hypothesis statements and specify the appropriate test.Define your population parameter.Write the null and alternative hypotheses. Note: Remember the salesperson believes that his sales are higher.Specify the name of the test you will use.Identify whether it is a left-tailed right-tailed or two-tailed test.Identify your significance level. Define your population parameter. Write the null and alternative hypotheses. Note: Remember the salesperson believes that his sales are higher. Specify the name of the test you will use.Identify whether it is a left-tailed right-tailed or two-tailed test. Identify whether it is a left-tailed right-tailed or two-tailed test. Identify your significance level. Data Analysis Preparations: Describe sample summary statistics provide a histogram and summary check assumptions and find the test statistic and significance level.Provide the descriptive statistics (sample size mean median and standard deviation).Provide a histogram of your sample.Describe your sample by writing a sentence describing the shape center and spread of your sample.Determine whether the conditions to perform your identified test have been met. Provide the descriptive statistics (sample size mean median and standard deviation). Provide a histogram of your sample. Describe your sample by writing a sentence describing the shape center and spread of your sample. Determine whether the conditions to perform your identified test have been met. Calculations: Calculate the p value describe the p value and test statistic in regard to the normal curve graph discuss how the p value relates to the significance level and compare the p value to the significance level to reject or fail to reject the null hypothesis.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 275.Calculate the p value.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.Choose your test from the following:=T.DIST.RT([test statistic] [degree of freedom])=T.DIST([test statistic] [degree of freedom] 1)=T.DIST.2T([test statistic] [degree of freedom])Using the normal curve graph as a reference describe where the p value and test statistic would be placed. 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 275. Calculate the p value.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.Choose your test from the following:=T.DIST.RT([test statistic] [degree of freedom])=T.DIST([test statistic] [degree of freedom] 1)=T.DIST.2T([test statistic] [degree of freedom]) Using the normal curve graph as a reference describe where the p value and test statistic would be placed. Test Decision: Discuss the relationship between the p value and the significance level including a comparison between the two and decide to reject or fail to reject the null hypothesis.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 null hypothesis. 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 null hypothesis. Conclusion: Discuss how your test relates to the hypothesis and discuss the statistical significance.Explain in one paragraph how your test decision relates to your hypothesis and whether your conclusions are statistically significant. Explain in one paragraph how your test decision relates to your hypothesis and whether your conclusions are statistically significant.

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