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MM 305 Unit 4 Project Directions: • The following software may be used: o Excel->Data Analysis o Excel QM o PhStat • Please make sure to insert your answers, including any charts, graphs, or output, on this document. You may be required to also upload original files from Excel. • The calculations are not your final answer. A summary/explanation in your own word for each question posed should be included. • Questions1,3,6,7 and 11 require the use of the Salary Data File. The Salary Data file is located in Doc Sharing->Instructor Graded Projects. • Be sure to put your name on this document and save it to your computer. Upload this Word document as your Unit 4 submission in the course Drop Box. Submitting Your Project: • Save your project in a location that you will remember and with your full name. When you are ready to submit your project, click on the Dropbox and complete the steps below: • Click the link that says, “Submit an Assignment.†• In the “Submit to Basket†menu, select Unit 4 Project. • In the “Comments†field include your name. • Click the “Add Attachments†button. • Follow the steps listed to attach your Word Document. • You should revisit the Dropbox to view any helpful feedback your instructor has and to retrieve your graded project. • Make sure that you save a copy of your submitted project.   1. For each the following variables from the Salary Data Setprovide the measures of location and measures of dispersion for the following variables: 1. Current Salary Answer: . Explanation (include any calculations or software output): 2. Beginning Salary Answer: . Explanation (include any calculations or software output): 3. Which variable has the greatest relative variability? Answer: Explanation (include any calculations or software output):   2. You are the manager of a high-end ladies fashion store. For the past few months you have been gathering data and found that 35% of persons entering the store actually make a purchase. Assume these data follow a Binomial Distribution and use Excel to calculate the following binomial probabilities: 1. If 15 people enter the store, what is the probability that exactly 7 of them will make a purchase? Answer: Explanation (include any calculations or software output): 2. What is the probability that more than 7of the 15 people will make a purchase? Answer: . Explanation (include any calculations or software output):   3. Using the Salary Data Set what is the probability of randomly selecting one individual (male or female) with acurrent annual salary of over $50,000? Answer: Explanation (include any calculations or software output): 4. The time required to complete a project is normally distributed with a mean of 79 weeks and a standard deviation of 2 weeks. The construction company must pay a penalty if the project is not finished by the due date of the contract. If a construction company bidding on this contract wishes to be 95 percent sure of finishing by the due date, use the NORMINV Excel Function to determine what due date (project week #) should be negotiated? Answer: Explanation (include any calculations or software output):   5. In a state lottery participants select 6 numbers between 1 and 99. At the end of the week, the state lottery commission randomly draws 6 numbers between 1 and 99. How many different possible winning number combinations could be drawn by the lottery commission? Answer: Explanation (include any calculations or software output): 6. From the Salary Data Set and assuming that the salary data is a random sample from the population of salaries from the multi-national company use the 95% confidence level in PHStat to estimatethe mean currentsalary for company executives. 1. The 95% confidence level interval is: Answer: Explanation (include any calculations or software output): 2. If you were to change the confidence level to 99%, what would happen to the confidence interval? What is the 99% confidence interval? Answer: . Explanation (include any calculations or software output):   7. Using the Salary Data Set, 1. Create a scatter plot to show this relationship between education and current salary 2. Determine the correlationcoefficient between the variables. What does this tell us about the relationship? Answer: . Explanation (include any calculations or software output):   8. Explain why rejecting the null hypothesis does not make the alternative hypothesis true. Answer in your words: 9. What is the purpose of statistical inference? Answer in your words: 10. What is the difference between sampling error and the standard error of the mean? Answer in your words:   11. You are a consultant working for Kaplan Consulting. The Director of Human Resources for a multi-national company has requested help in investigating a pay discrimination complaint brought by a female executive. The company provided the data in the Salary Data Set. Use PHStat and the appropriate t test, to investigate the claim of pay discrimination in the Beginning Salary. “Is there a significant differencebetween the average female and average male salaries?†1. What is the Null and the Alternative Hypotheses? Ho: Ha: 2. What is your level of alpha (α)? Answer: Why did you choose this level? Please explain in terms of Type I or Type II errors. 3. What is the output from your analysis? Software output or calculations: 4. What is your decision about the hypothesis based on the software output? Answer in your words: 5. Is there a significant difference between the average female and average male salaries? Please write a written statement to the director of Human Resources as to whether they should be concerned about the complaint. Answer in your words:
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MM/305 MM 305 Unit 4 Project
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