Please solve the hypothesis testing problems (#1, and 2) using Minitab as the tool.  For each problem, (1) specify the business and statistical hypotheses, (2) specify what the Type I and Type II errors are in this business context, and, the implications of making those errors, (3) include the results from Minitab, (4) draw appropriate conclusions to your statistical hypotheses based on the results, and, finally, (5) present the business conclusions in a short non-statistical summary. For problem 3, use Minitab and follow instructions given with the problem. For problem 4, several analyses will be necessary. Present each analysis with business/statistical hypotheses, Minitab results, and business conclusions. Incorporate those analyses into a short report. Suppose Smith and Wilson is a relatively small West Coast advertising agency.  Assume that they have hired you to help in their newly established advertising research department.  Your first task is to evaluate the results of a copy test for a new consumer product. Three different versions of the advertisement were prepared. A random sample of 10 viewers watched the three versions.  After each commercial was shown, each consumer’s attitude toward the product was measured on a scale of 1 to 100 (the higher the score, the more favorable the attitude). The scores of the 10 viewers are below: A B C 1 66 61 85 2 79 51 90 3 58 44 79 4 77 50 88 5 65 35 78 6 59 28 69 7 71 41 89 8 80 38 95 9 77 45 85 10 68 50 80 After receiving your bachelor’s degree in personnel management, you were hired by a small but expanding life insurance company.  Your first assignment is to develop a more efficient technique for the preliminary screening of applicants for sales positions.  Since the firm employs only college graduates, you decide to work with information focusing on their performance during college. A random sample of 25 from the firm’s current sales force is selected and the following information is obtained: Last year’s performance evaluation score College grade point average (GPA) Percent of total college expenses earned by the individual Number of social organizations the individual belonged to                                    Percent of        Number of Performance                Expenses          Social Score               GPA    Earned            Organizations 43                    2.1       50                    2 47                    2.8       20                    5 53                    2.6       10                    3 56                    2.7       60                    1 57                    3.8       0                      0 64                    2.6       30                    2 68                    3.2       10                    1 68                    2.8       30                    2 74                    2.6       10                    2 75                    2.9       40                    1 77                    3.0       30                    0 78                    3.2       15                    1 81                    3.4       20                    2 83                    2.8       40                    3 87                    2.6       60                    5 88                    3.1       50                    0 89                    2.4       80                    4 90                    3.3       10                    2 91                    2.9       50                    6 92                    3.5       40                    1 93                    3.7       30                    2 94                    3.1       20                    5 95                    3.6       70                    1 96                    3.2       10                    4 97                    3.4       40                    0 ------------------------------------------------------------------------- (Source: Unknown – 270RL?) On the basis of the data obtained, what recommendations can you make regarding the preliminary screening of applicants for sales positions? 3. A contractor has recorded the number of jobs performed in the last seven months. a.Draw a graph of the number of jobs (as y) and time (as x). Be sure to label the axes.   For each of the following methods, develop a forecast for the number of jobs for the 8th month. b.A three-period moving average c.Exponential smoothing (use Minitab default smoothing parameters) d.A linear trend equation Using the mean squared difference (MSD), explain which of the methods you believe results in the best forecast and make your recommendation to the contractor about what he should expect for the eighth month. Month Jobs Feb 19 Mar 18 Apr 15 May 20 Jun 18 Jul 22 Aug 20

Consider the following scenario:After Clark Maxwell met with a lawyer to discuss closing his furniture business and declaring bankruptcy, he wondered how things got to where they were. He knew that his two main struggles had been with employees and products. It seemed that he either had too many employees at a given time to afford the weekly payroll or he had to pay a premium for using day laborers and temp workers to make up for labor shortages. As far as product was concerned, he often had too much of one product that he had to discount to get rid of or he did not have enough of another product to meet the demand. He wished that he could have the success of his cousin, Cait, who never seemed to have these problems with the flooring store she owned. They were in similar industries, he thought, so what was her secret to success?The secret to Cait’s business (in comparison to Clark’s, at least) had to do with the way she applied descriptive statistics to her business. By reviewing her data, she was able to determine how many full- and part-time employees she would need, as well as how that changed depending on different variables in her community. She also made efforts to gather information on consumer’s tastes and preferences in order to have the more valuable (and profitable) carpet in stock and ready to sell.In this Assignment, you will consider basic concepts of descriptive statistics and how they can be used in business.To prepare for this Assignment:Review this week’s Learning Resources.Refer to the Academic Writing Expectations for 2000/3000-Level Courses as you compose your Assignment.By Day 7Submit your responses to the following prompts.Consider the following questions:How much does milk cost on the East Coast of the United States? How many minutes does it take to drive 30 miles at an average speed of 55 miles per hour?What is the age difference between you and your siblings?How many hours of sleep do teenagers get during the school year compared to summer vacation?Define each question as being or not being a statistical question and explain why. (75–150 words, or 1–2 paragraphs)Joan Horton is a building contractor whose company builds many homes every year. In planning for each job, Joan needs some idea about the direct labor hours per square foot required to build a home. She has collected sample information on the labor hours for 10 jobs during the past year. (300 words, or 4 paragraphs) Job12345678910Hours245291353118152402351242595173Calculate the mean for this sample. How can Joan use this information?Calculate the median from this sample. If Joan had to select the mean or the median as the estimate of direct labor hours, what factors about each statistic should she consider before making the decision?Calculate the sample variance and standard deviation. How can Joan use these values in planning future jobs?One of Joan’s competitors, J.M. Sawyer, has numbers claiming that his crews average 350 hours per square foot, with a standard deviation of 50. Sawyer further claims that his company is more consistent in direct labor hours applied to houses than Horton’s company. Who is right, and why?The weekly total of hours for the servers and the cooks for a small restaurant are listed below. Find the range, variance, and standard deviation for each set. Which set of data is more variable? (75–150 words, or 1–2 paragraphs)Week12345678910Servers823837858791812814832862833826Cooks752764754774771745736816792793