Inferences About Population Variances: Case Problem Air Force Training Program (WLOS: 1, 2, 3] [CLOS: 1, 2, 3, 4, 5, 6, 7] Prior to beginning work on this discussion forum, watch the Week 3 Introduction e video, and read Chapter 11 in the Mind Tap ebook by clicking on the Getting Ready link for each perspective chapter. Step 1: Read: Review Case Problem 1: Air Force Training Program from Chapter 11 of the ebook. Step 2: Do: Run the F-Test Two-Sample for Variances for the Data File Training (Chapter 11) using the video How to Add Excel's Data Analysis ToolPak e for assistance. In a managerial report, . Use appropriate descriptive statistics to summarize the training time data for each method. What similarities or differences do you observe from the sample data? Conduct a hypothesis test on the difference between the population means for the two methods. Discuss your findings. Compute the standard deviation and variance for each training method. Conduct a hypothesis test about the equality of population variances for the two training methods. Discuss your findings. Explain what conclusion you can reach about any differences between the two methods. What is your recommendation? Explain. Suggest other data or testing that might be desirable before making a final decision on the training program to be used in the future. Step 3: Discuss: What did you find in your analysis of the data? Were there any surprising results? What recommendations would you make based on your findings? Include details from your managerial report to support your recommendations. Guided Response: Review several of your peer's posts. In a minimum of 100 words each, respond to at least two of your fellow students' posts in a substantive manner, and provide information that they may have missed or may not have considered regarding the application of Inferences about Population Variances in business and economics. Do you agree with their conclusions? Why or why not? You are encouraged to post your required replies earlier in the week to promote more meaningful and interactive discourse in this discussion forum. Continue to monitor the discussion forum until 11:59 p.m. (Pacific time) on Day 7, and respond with robust dialogue to anyone who replies to your initial post. 76 76 74 76 74 74 3 73 0 ETUMB8%EB%22%2EE%EE%FB%BB%BE%wn 0 78 73 79 82 65 79 73 76 81 69 75 80 77 76 75 73 77 75 75 77 79 76 78 76 76 73 77 84 74 74 69 79 MTBETTESTENNBBn 77 79 75 75 72 82 76 76 74 72 78 71 66 70 74 72