AJ Davis Department Store Project Part A Roshanda Walker AJ Davis Department Store Project Part A Roshanda Walker Keller Graduate School of Management Math 533- Applied Managerial Statistics Keller Graduate School of Management Math 533- Applied Managerial Statistics Introduction This report provides statistically analysis using graphs and charts that shows how the income, credit balance, location and years are used as variables to determine the trends of credit card customers of
A. The average (mean) annual income was less than $50,000. H0 µ = 50 Ha µ < 50 n = 50 X = 43.74 S = 14.64 Z = -3.02 P = 0.001 We can interpret this result by rejecting the hypothesis that the average income is equal to $50,000 and accepting the claim from management that the average income is less than $50,000. We are 95% confident the average income is as claimed by management. See Appendix A. B. The true population proportion of customer who live in an urban area exceeds
AJ Davis Department Store Course Project – Part A MATH533: Applied Managerial Statistic James Butler 03/15/2014 Introduction AJ DAVIS is a department store chain. They have many credit customers and want to find out more information about these customers. Samples of 50 credit customers have been collected. There are five variables in which will be analyzed and deciphered to determine the quality credit customers that AJ DAVIS services. A LOCATION (Rural, Urban, Suburban) Descriptive
Amelia Cwiertniewicz MATH 533 Course Project: AJ DAVIS DEPARTMENT STORES | | A. Brief introduction AJ DAVIS, a department store chain, selected a sample of 50 credit customers to collect data on five variables such as location, income, size, years, and credit balance. In order to gain a better knowledge and understanding of their customers, AJ DAVIS provides graphical and numerical summary to explain and forecast the growth potential of their business. B. Discuss your first individual
Course: MATH 533 Topic: Project Part A : Exploratory Data Analysis In this course project, we have been provided 5 different variables with 50 samples. They are “location”, a qualitative variable, and 4 quantitative variables, ”income”, “size”, “year” and “credit balance”. Each of them has a kind of relation that can link together, and because of that we can be able to pair out 10 different pairs of variables. In the following report, we are going to discuss 3 set of individual variable and
Project Part B Rick Aguilar Keller School of Management Applied Managerial Statistics MATH 533 Mark Beintema Project Part B Brief Introduction: AJ Davis is a department store chain, which has many credit customers and wants to find out more information about these customers. AJ Davis has complied a sample of 50 credit customers with data selected in the following variables: Location, Income (in $1,000’s), Size (Number of people living in the household), Years (number of years the
An AJ Davis store manager is requesting to identify some concerns of the customers’ database by using the Credit Balance (X) vs the Income (Y). 1) The scatterplot is to show the relationship between the Credit Balance (X) vs the Income (Y). The line in the middle is to show the ‘best fit”. There is a strong positive relation between the two variables as we can see from the line. Furthermore, we can state as the Credit Balance (X) increases that there is an increase in the Income level (Y), as the
PARTE 1 Descriptive Statistics: Income ($1000) Total Variable Count Mean StDev Income ($1000) 50 43.74 14.64 Descriptive Statistics: Size Total Variable Count Mean StDev Size 50 3.420 1.739 Descriptive Statistics: Years Total Variable Count Mean StDev Years 50 12.260 5.086 Descriptive Statistics: Credit Balance($) Total Variable Count Mean StDev
Gwen Geever Professor Jeffrey Farkes 11/10/2013 MATH533: Applied Managerial Statistics Course Project – Part A Introduction AJ DAVIS is a department store chain. They have many credit customers and want to find out more information about these customers. Samples of 50 credit customers have been collected. There are five variables in which will be analyzed and deciphered to determine the quality credit customers that AJ DAVIS services. Individual Variables 1. Location Tally for Discrete
MATH 533 Course Project: AJ DAVIS DEPARTMENT STORES Purchase here http://chosecourses.com/MATH%20533/math-533-course-project-aj-davis-department-stores Product Description MATH 533 Week 2 Course Project Part A - Exploratory Data Analysis MATH 533 Week 6 Course Project Part B - Hypothesis Testing and Confidence Intervals MATH 533 Week 7 Course Project Part C - Regression and Correlation Analysis MATH 533 Course Project: AJ DAVIS DEPARTMENT STORES Purchase here http://chosecourses