A marketing company based out of New York City is doing well and is looking to expand internationally.  The CEO and VP of Operations decide to enlist the help of a consulting firm that you work for, to help collect data and analyze market trends.  You work for Mercer Human Resources.  The Mercer Human Resource Consulting website (www.mercer.com) lists prices of certain items in selected cities around the world. They also report an overall cost-of-living index for each city compared to the costs of hundreds of items in New York City (NYC). For example, London at 88.33 is 11.67% less expensive than NYC. More specifically, if you choose to explore the website further you will find a lot of fun and interesting data.  You can explore the website more on your own after the course concludes. https://mobilityexchange.mercer.com/Insights/cost-of-living-rankings#rankings In the Excel document, you will find the 2018 data for 17 cities in the data set Cost of Living. Included are the 2018 cost of living index, cost of a 3-bedroom apartment (per month), price of monthly transportation pass, price of a mid-range bottle of wine, price of a loaf of bread (1 lb.), the price of a gallon of milk and price for a 12 oz. cup of black coffee.  All prices are in U.S. dollars. You use this information to run a Multiple Linear Regression to predict Cost of living, along with calculating various descriptive statistics.  This is given in the Excel output (that is, the MLR has already been calculated.  Your task is to interpret the data).  Based on this information, in which city should you open a second office in?  You must justify your answer.  If you want to recommend 2 or 3 different cities and rank them based on the data and your findings, this is fine as well.  This should be ¾ to 1 page, no more than 1 single-spaced page in length, using 12-point Times New Roman font.  You do not need to do any calculations, but you do need to pick a city to open a second location at and justify your answer based upon the provided results of the Multiple Linear Regression.  What is an Executive Summary? Think of this assignment as the first page of a much longer report, known as an Executive Summary, that essentially summarizes your findings briefly and at a high level.  This needs to be written up neatly and professionally.  This would be something you would present at a board meeting in a corporate environment.To help you make this decision here are some things to consider: Based on the MLR output, what variable(s) is/are significant?  From the significant predictors, review the mean, median, min, max, Q1 and Q3 values?  It might be a good idea to compare these values to what the New York value is for that variable.  Remember New York is the baseline as that is where headquarters are located. Based on the descriptive statistics, for the significant predictors, what city/cities has the best potential?  What city or cities fall above or below the median and/or the mean?  What city or cities are in the upper 3rd quartile? Or the bottom quartile?

Management professionals are often relied upon to make decisions regarding operational processes. Those who utilize a data-driven, structured approach have a clear advantage over those offering decisions based solely on intuition. Your task is to review the scenario found in your textbook on page 685-686, the supplemental case study document and the accompanying data set outline the appropriate analysis strategy; select a suitable statistical method; and use data analysis to ultimately drive the decision. Once this has been completed, you will be challenged to present your data, data analysis strategy, and overall decision in a concise report, justifying your analysis.Specifically, the following critical elements must be addressed:Introduction to the problem:Provide a concise description of the scenario that you will be analyzing. The following questions might help you describe the scenario: What is the type of organization identified in the scenario? What is the organization’s history and problem identified in the scenario?Create an analysis plan to guide your analysis and decision making: In this section you will review the data set to inform the statistical method that will be used. To inform your responses in this section, calculate the central tendency of the dependent variable, develop a histogram of the gift amount and develop scatterplots for the gift amount for each independent variable.Identify any quantifiable factors that may be affecting the performance of operational processes.Develop a single sentence problem statement that addresses the given problem in the scenario and contains quantifiable measures.Propose a strategy that addresses the problem of the organization in the given case study.Identify statistical methods to collect data:Identify the appropriate statistical methods that you will use to perform your analysis. What are your statistical assumptions concerning thedata that led you to selecting the methods? In other words, why did you select this method for statistical analysis?Justify why you chose these methods to analyze the data. Be sure to include how these methods will help predict the use of the data in drivingdecisions using cited evidence.Data-Driven Decisions to determine the appropriate decision for the identified problem:Outline the process needed to utilize your statistical analysis to reach a decision regarding the given problem.Explain how data mining is used to develop a solution to the case. In your response, consider the concepts of metadata.Explain if the problem is a structured or unstructured problem.Assess how the variables have potential for answering the problem.Recommend operational improvements to stakeholders after you have completed the calculations:Demonstrate a data-driven calculation that addresses the given problem statement.Summarize results of the analysis plan. In your response, be sure to explain the validity of the model solution.C. Explain how the model solution addresses the given problem statement.Final Project Submission: Statistical Analysis ReportIn Module Nine, you will submit your statistical analysis report and recommendations. It should be a complete, polished artifact containing all of the critical elements of the final product. It should reflect the incorporation of feedback gained throughout the course. This submission will be graded with the Final Project Rubric.Final Project RubricGuidelines for Submission: Your statistical analysis report must be 5-6 pages in length (plus a cover page and references) and must be written in APA format. Use double spacing, 12-point Times New Roman font, and one-inch margins. Include at least six references cited in APA format.

Hypothesis Testing Project Listed Below are the Tuition Costs for the 50 States in the U.S. for in and out of state State In - State Out of State State In State Out of State Alabama $10,539 $25,760 Montana $ 6.920 $ 23,220 Alaska 7,440 22,840 Nebraska 8,270 20,310 Arizona 11,220 29,750 New Hampshire 16,070 28,430 Arkansas 8,550 21,000 New Jersey 13,870 26,600 California 9.680 32,590 New Mexico 6,920 20,060 Colorado 10,800 30,600 New York 7,940 24,520 Connecticut 12,390 29,020 N. Carolina 7,380 19,500 Delaware 12,270 30,970 N. Dakota 8,200 19,420 Florida 6,360 21,880 Ohio 10,510 25,000 Georgia 8,570 26,760 Oklahoma 8,460 22,250 Hawaii 10,660 31,090 Oregon 10,360 30,300 Idaho 7,250 31,090 Pennsylvania 14,440 26,960 Illinois 13,620 23,480 Rhode Island 12,230 28,910 Indiana 9.360 29,170 S. Carolina 12,610 31,350 Iowa 8,760 29,170 S. Dakota 8,450 12,480 Kansas 9,230 23,910 Tennessee 9,790 26,640 Kentucky 10,300 23,710 Texas 9,840 26,640 Louisiana 9,300 23,280 Utah 6,790 20,730 Maine 9,970 27,010 Vermont 16,040 38,990 Maryland 9,580 22,060 Virginia 12,820 33,270 Massachusetts 12,730 29,220 Washington 9,480 29,300 Michigan 12,930 36,840 W. Virginia 7,890 21,550 Minnesota 11,300 20,890 Wisconsin 8,960 22,930 Mississippi 8,870 19,060 Wyoming 5,220 16,830 Missouri 8,870 23,220 Random choose 30 random tuition cost from the above table either for In-State or Out of State tuition cost. Find the mean and the standard deviation for the data set you chose.The College Board is an American not-for-profit organization that was formed in December 1899 as the College Entrance Examination Board to expand access to higher education. While the College Board is not an association of colleges, it runs a membership association of institutions, including over 6,000 schools, colleges, universities, and other educational organizations. The College Board states that the Average Total Cost of Public Colleges: $25,290 (in-state) $40,940 (out-of-state) and the Average Total Cost of Private Colleges: $50,900.Depending upon whether you chose In-State or Out- of-State, create the hypothesis student t test with a 0.05 level of significance, is greater than or less than the stated values above.The standard deviation is known to be $659 for college tuition, complete the following hypothesis test for that the standard deviation of college tuition is not equal to $659. State the null and alternate hypothesis.Find the critical values:Alpha ______d.f ________Critical t: _______Compute the sample test statistic using the formula : t = Complete the diagram:Indicate whether to reject of do not reject Ho. ____________________Write your written conclusion below: a) State the null and alternate hypothesis: Find the critical values:Alpha ______d.f ________ = _________ = _______Find the test statistic: Complete the diagram:Indicate whether to reject of do not reject Ho. ____________________ Write your written conclusion below: