...Final Exam Study Guide (Revised 5/17/2011) In preparing for the Final Exam, it will serve you well to take a step back and reflect on the content, structure, and flow of the course. This will enable you to organize your notes, your completed homework and case problems, your annotated Minitab output, and your thoughts. The course is organized around the Terminal Course Objectives (TCOs) and each week builds on the preceding week’s concepts and skills. Each week introduces, explains, and demonstrates the essential concepts, major problem types, and key variations, which embody the TCOs. Here is a week-by-week summary of the major problem types. * Week 1 - Descriptive Statistics: includes central tendency, dispersion, and the shape of the distribution, in numbers, pictures, and tables. * Week 2 – Probability: includes 3 major problem types, and their most important variations: contingency tables, expected value, and the binomial distribution. * Week 3 – Probability continued: includes the normal distribution, its application to sampling distributions, and its most important variations. * Week 4 – Confidence intervals and sample size determinations, and their most important variations. * Week 5 – Hypothesis testing: includes the 5-step hypothesis testing procedure, applied to means and proportions, and its most important variations. * Week 6 – Simple linear regression: includes interpreting Minitab output for point estimates, hypothesis tests, and confidence...
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...* * * * * * Course Project GM533 Applied Managerial Statistics Professor Cook February 14, 2011 TO: FROM: DATE: February 14, 2011 SUBJECT: Analysis of Factors that Affect Property Crime Rates I have analyzed the data of the factors that affect property crime rates in the United States. Here are my results. Data The data provided included; crime rate per hundred thousand inhabitants (which included burglary, larceny, theft, and motor vehicle theft), pincome- per capita income for each state, dropout- high school drop-out rate, precip- average precipitation in inches in the major city in each state over 1951-1980, pubaid- percentage of public aid recipients, density- population/total square miles, kids- public aid for families with children (dollars per family), unemploy- percentage of unemployed workers, urban- percentage of the residents living in urban areas. This data was provided by U.S. government sources: “the 1988 Uniform Crime Reports, Federal Bureau of Investigation, the Office of Research and Statistics, Social Security Administration, the Commerce Department, Bureau of Economic Analysis, the National Center for Education Statistics, U.S. Department of Education, the Bureau of the Census, Department of Commerce and Geography Division, the Labor Department, Bureau of Labor Statistics, the National Climatic Data Center, U.S. Department of Commerce” (Bowerman, O’Connell, Orris, and Murphree). I have used a multiple regression...
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...Sarah R Klemm GM533 Course Project Part A 7/21/13 Introduction: This report includes a comparision of 50 AJ DAVIS department store credit card customers. The report takes 5 individual variables, location, income ($1000), size, years (the number of years a customer lived in a certain location) and credit balance (the customer’s current credit card balance on the store’s credit card, in dollars) and compares them both graphically and numerically. A. The first variable discussed in location of the customers. The chart below is a bar graph seperating the 50 credit card customers into rural, suburban and urban locations. The bar graph shows that most of the credit card customers are located in urban areas and the least amount of credit card customers are located in rural areas. B. The second variable discussed in the income of the household in thousands based on the histogram and box plot below. The histogram shows the frequency in which credit card customers with household incomes between $20,000 and $65,000 have credit cards. The boxplot shows where the highs and lows of those income categories fall. C. The third variable graphed is the years the credit card customer has lived in their current location. Based on the histogram below most credit card customers have lived in their current location around 15 years. The histogram shows the tallest frequency above the 15 year mark. Whereas the dotplot shows that the highest number of years is at 14 and...
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...GM533 Applied Managerial Statistics Course Project Ebenezer Newman and Mark Cherry * NE (Northeast) 1: Maine, New Hampshire, Vermont, Massachusetts, Rhode Island, Connecticut, New York, Pennsylvania, New Jersey 0: Others * MW (Midwest) 1: Wisconsin, Michigan, Illinois, Indiana, Ohio, Missouri, North Dakota, South Dakota, Nebraska, Kansas, Minnesota, Iowa 0: Others * WEST (West) 1: Idaho, Montana, Wyoming, Nevada, Utah, Colorado, Arizona, New Mexico, Alaska, Washington, Oregon, California, Hawaii 0: Others * Region 3 (South) Delaware, Maryland, District of Columbia, Virginia, West Virginia, North Carolina, South Carolina, Georgia, Florida, Kentucky, Tennessee, Mississippi, Alabama, Oklahoma, Texas, Arkansas, Louisiana Scatter plots Get the scatter plots for each variable against the crime rate VIF From the result we see that there is no Multicorinality Predictor Coef SE Coef T P VIF Constant -340 1101 -0.31 0.759 NEAST -304.9 508.9 -0.60 0.553 3.307 MID-WEST -164.5 475.2 -0.35 0.731 3.564 WEST 351.6 588.9 0.60 0.554 5.773 PINCOME -0.01055 0.07966 -0.13 0.895 4.154 DROPOUT 70.66 26.61 2.66 0.011 2.975 PUBAID -76.43 86.78 -0.88 0.384 2.305 DENSITY -1.6666 0.9109 -1.83 0.075 3.760 KIDS 0.851 1.801 0.47 0.639 3.959 PRECIP 7.69 13.85 0.56 0.582 3.328 UNEMPLOY -93.30 ...
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...Keller Graduate School of Management Applied Managerial Statistics (GM533) Course Project Case Study: Grocery Bags data gathered and written by ME Applied Managerial Statistics GM533 Instructor: XX I. Executive Summary For this research I decided to develop my own case study and collect all the data myself. The data file named “Grocery Bag Study” (separate attachment), contains observations on 33 sample groups with a variation of 8 different characteristics (see table below). These characteristics include ethnicity, number of adults and minors in household, the number of bags collected weekly, the number of bags they recycle or reuse, the use of reusable fabric shopping bags, how many they throw away and the sex of the adults in the household. The totals for the bags are shown in the table below (Table A.1). For the sake of this study, I am going to combine the paper and plastic together because I want my dependent variable to be the number of bags recycled each week. I want to determine if the independent variables affect the recycle rate and which ones affect it the most, which can be eliminated and what my conclusions will be. II. Calculations This file was used to prepare a report on the influence of various options on grocery bags collected each week and to relay how this information could be used to determine the recycle rates (y). Statistical analysis by Hypothesis Testing and Multiple Regression Analysis was performed on the collection of grocery...
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...Course Project Case 32 Overdue Bills GM533 Introduction The National Minority Women in Business Institute (NMWBI) is a nonprofit networking organization for minority women business owners and entrepreneurs. For the past 25 years, NMWBI has served as the platform for more than 10 million women business owners to share resources, make economic decisions and influence public policy. NMWBI is a dues-based national organization representing the interest of minority women entrepreneurs in varying industries. (Nawbophx, nd) Historically, NMWBI has been very profitable. Unfortunately, NMWBI like many other organizations has been impacted by the economic recession. Two notable developments have occurred; new enrollment has declined by 30% with an increase in late dues payments. With that, NMWBI’s board of directors is concerned that the number of days to collect the payments is influenced by the size of the bill. This may be impacting its profit margins. As a result, the principles of NMWBI have consulted a statistical analysis firm, Market Probe Inc. (MPI) to evaluate data, along with the receivables management team, provided to them about NMWBI’s overdue payments. The findings of MPI have been summarized and drafted in a brief memo to the board addressing the concern and to advise of any impact between the amount of the bill and the number of days to collect payment and recommendations as needed. (Nawbophx, nd) Memorandum To: National Minority...
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