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
Math 533 Course Project: AJ DAVIS DEPARTMENT STORES Project Part B: Hypothesis Testing and Confidence Intervals Summary Report In order to calculate the probability of each situation hypothesis tests were administered on each scenario. In summary, hypothesis testing is used to check whether there is or is not likely to be a difference between one or more data sets. In statistics there is no such thing as 100% sure so uncertainty must be allowed. Instead the best thing we can do in statistics
hi guys this is math 533 read it and check calculation before submiting Satwinder Singh Statistics for business and Economics: Math 533 Course Project Submitted to: Professor Brathwaite Leon Date: 10/4/14 Introduction AJ DAVIS is a department store chain, which has many credit customers and wants to find out more information about these customers. A sample of 50 credit customers is selected with data collected on the following five variables: 1. LOCATION (Rural, Urban
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
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
Course Project Part A | By Monisha Crawford Math 553 Joni Bynum November 9, 2014 | Course Project Part A Income The range of the incomes of the 50 sampled AJ Davis customers are between 25,000 and 74,000 with an average income of 45,550 with a standard deviation of 13,620. Min 25.00 Q1 33.00 Mean 45.55 Median 44.00 Q3 57.00 Max 74.00 Stem and Leaf Plot 2 55679 3 000223334 3 5568 4 0022334
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
MATH 533 Project B Summary: a) The mean sales per week surpasses 41.5 per salesperson. This is the right assumption. Statistical evidence is sufficient to back this claim with associated probability of committing an error which is called p-value = .022. The lower limit of the 95% confidence interval is 41.654. This implies that we can be 95% confident that the average (mean) sales per week exceeds 41.5 per salesperson since 41.654 > 41.5 and therefore our confidence interval does not include
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