Scenario 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 1,001 home sales for the Pacific region. Prompt Design a hypothesis test and interpret the results using significance level ? = .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. 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. 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. 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. 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. 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.

A major client of your company is interested in the salary distributions of jobs in the state of Minnesota that range from $30,000 to $200,000 per year. As a Business Analyst, your boss asks you to research and analyze the salary distributions. You are given a spreadsheet that contains the following information:A listing of the jobs by titleThe salary (in dollars) for each jobYou have previously explained some of the basic statistics to your client already, and he really liked your work. Now he wants you to analyze the confidence intervals.Background information on the DataThe data set in the spreadsheet consists of 364 records that you will be analyzing from the Bureau of Labor Statistics. The data set contains a listing of several jobs titles with yearly salaries ranging from approximately $30,000 to $200,000 for the state of Minnesota.What to SubmitYour boss wants you to submit the spreadsheet with the completed calculations, answers, and analysis.

*Answers and explanations1.  Write   as a single power of 2. Carefully show each step of your work.2.  Police departments find it very useful to be able to approximate driving speeds in skidding accidents. If the road surface is wet concrete the function is S(x) =   is used, where S(x)  is the speed of the car in miles per hour and x is the distance skidded in feet.a.  Fill out the table for each of the distances shown below. Round to the nearest whole number:b.  Find the distance the car will skid if the speed of the car is 60 miles per hour.Round to two decimal places.3. Complex numbers are used by engineers and physicists to measure electrical circuits. To measure voltage, they use the formula E = I • Z, where E  is voltage in volts, I  is the current in amps, and Z is impedance, or resistance, in ohms.a. Find the voltage for an electrical circuit if the current is 3 - 4i  amps and the impedance is 2 + iohms. Simplify your answer completely.    b. Find the Impedance for an electrical circuit if the voltage is 18 - 24i  and the current is 6 - 3iamps. Simplify your answer completely.