AJ Davis Department Store Introduction The following information will show whether or not the manager’s speculations are correct. He wants to know the following information: Is the average mean less than $50,000? Does the true population proportion of customers who live in an urban area exceed 40%? Is the average number of years lived in the current home less than 13 years? Is the credit balance for suburban customers more than $4300? Hypothesis testing and confidence intervals for situations
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PROJECT PART A Exploratory Data Analysis Keller Graduate School of Management GM533: Managerial Statistics (Downers Grove, IL) Table of Contents I. Introduction & Overview .................................................................................................... 3 II. Individual Variables............................................................................................................. 4 Variable: Location....................................................
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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
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PART A- Exploratory Data Analysis Introduction & Overview AJ Davis is a department store chain, which has many credit customers and wants to find out more information about these customers. The total sample set of 50 credit customers is selected with data collected. The below data was provided in order to perform the analysis. 1. Location: a. Urban b. Suburban c. Rural 2. Income 3. Household Size (number of people living in the household) 4. Years (the number of years that the customer
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Maurice S. Butler Math533—Applied Managerial Statistics Course Project: Part A Introduction This project is based upon statistical data compiled concerning AJ Davis Department Stores, specific to a sample of its customer base. It is with intent of establishing relationship between location, gross income, and credit balances carried by customers that the following statistical analysis has been performed. It is assumed that information obtained as well as the interpretation of statistical analysis
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Data Analysis AJ Davis Project Part A January 18, 2013 Overview of Analysis 3 Individual Variable Analysis 4 Relationship between variables 8 Conclusion 10 Bibliography 11 Overview of Analysis AJ Davis is a department store chain, which has many credit customers and wants to find out more information about these customers. The department store provided a sample of 50 customers. The following data was provided for analysis: 1. Location a. Rural b. Urban
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Keller graduate school of management | Department Store part B | Week 6 project for AJ Davis | Information from the project for AJ Davis department store. Attached in this report is all information related to the information listed from Excel. | Results from Minitab findings The mean income was less than $50,000. The Null Hypothesis: which states the average annual income was greater than or equal to 50. The number of trials (n) is larger than 30 use ztest to check the hypothesis
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Project Part A Exploratory Data Analysis Keller Graduate School of Management GM533: Managerial Statistics (Downers Grove, IL) Michael Knapp Table of Contents I. Introduction...pg 3 II. Individual Variables a. Location…pg 3 b. Income…pg 3 and 4 c. Size…pg 4 and 5 III. Relationships d. Size and Location…pg 5 and 6 e. Income and Location…pg 7 and 8 f. Size and Income…pg 8 and 9 This analysis is to compare the information presented
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12 Course Project AJ DAVIS DEPARTMENT STORES PROJECT PART A In this course project, my aim is to present the statistical analysis of the data for Aj Davis departmental store chain, which has many credit customers and wants to find out more information about these customers. In analyzing the individual variable, using graphical illustrations I would be using histogram, bar chart and a pie chart because there are useful when using numerical comparison. The 3 individual variables 1)
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What to Never Eat After Your Workout By Cassandra Forsythe-Pribanic, PhD, RD, CSCS & Jayson Hunter, RD, CSCS Introduction Nutrition: To some people, it's just a nine-letter word synonymous with food and dieting. To others - people who know the secrets behind a better workout and a leaner body nutrition means so much more than just filling their plates. These people know that with proper nutrition, your body can experience beneficial results that out-compete any fancy pill or expensive surgical
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