This assignment consists of two parts. Part A is two sets (5 questions per set) of short answer questions. Part B is two sets (2 questions per set) of problems/applications involving excel sheets. You MUST provide interpretation of results and describe conclusions.
PART ONE
Set One:
1.) Explain the difference between the null hypothesis and alternative hypothesis. Which one can be proven in a statistical sense?
2.) How can you determine when to use a lower oneâ€Âtailed test of hypothesis versus an upper oneâ€Âtailed test?
3.) Explain the purpose of the chiâ€Âsquare test for independence. Provide some practical examples where this test might be used in business.
4.) Explain the difference between simple and multiple linear regression.
5.) Explain what the coefficient of determination, R^2 (Rsquared), measures. How is it related to the sample correlation coefficient?
Set Two:
1.) Summarize statistical methods used in forecasting and the types of time series to which they are most appropriate.
2.) Summarize some of the practical issues in using forecasting tools and approaches.
3.) Describe the steps involved in applying statistical process control.
4.) List the principal rules for examining a control chart to determine if the process is in control.
5.) What is process capability? How is it measured?
PART TWO
Set One
Solve Problem and Applications:Solve Problem and Applications:ch 5 prob1 (use excel file Call Center Data), and ch 6 prob12 (Home market values).
51: 1. Call centers typically have high turnover. The director of human resources for a large bank has compiled data on about 70 former employees at one of the bank’s call centers in the Excel file Call Center Data . In writing an article about call center working conditions, a reporter has claimed that the average tenure is no more than two years. Formulate and test a hypothesis using these data to determine if this claim can be disputed. Solution Tip: You need to write mathematical test of hypothesis statements and apply the test of hypothesis steps.
612: 2. Using the data in the Excel file Home Market Value, develop a multiple linear regression model for estimating the market value as a function of both the age and size of the house. Find a 95% confidence interval for the mean market value for houses that are 30 years old and have 1,800 square feet and a 95% prediction interval for a house that is 30 years old with 1,800 square feet.
Set Two
Solve Problem and Applications: ch7 prob 12, and ch 8 prob 4 at the end of chapters 7 and 8 in your textbook.
Please be sure your work is organized, legible, and your responses are substantive. You need to submit all details of your work including excel sheets used to arrive to the solution. It is not enough to attach your excel sheet. You MUST provide interpretation of results and describe conclusions.
84: If 30 samples of 100 items are tested for nonconformity, and 95 of the 3,000 items are defective, find the upper and lower control limits for a p chart.

Subject  Business 
Due By (Pacific Time)  03/30/2014 07:30 pm 
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