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 Statistics: Location Location | | Frequency | Percent | Valid Percent | Cumulative Percent | Urban | 21 | 42.0 | 42.0 | 42 | Rural | 14 | 28.0 | 28.0 | 70 | Suburban | 15 | 30.0 | 30.0 | 100 | Total | 50 | 100.0 | 100.0 | | Reviewing the above information we can see there are three locations in which AJ DAVIS customers are located, rural, urban and suburban.
Michelle Willis Course Project- A MATH553 May 21, 2014 AJ Davis is a large department store chain throughout the U.S. in which many customers pay by credit. To keep current with trends, create the ultimate shopping experience, and attract new credit customers, AJ Davis would like find out more information about their current customers. A sample of 50 credit customers was selected to perform a detailed statistical analysis. Some of the key variables that have been considered and included in the analysis are the customers Location,
Overview I This paper will evaluate a sample of 50 AJ DAVIS department store chain credit customers using statistical analysis. Four quantitative methods: household size, income, years and credit balance along with one qualitative method: location will be used. Individual Variables II Location is a categorical variable and it consists of three (3) subcategories: Rural, Suburban and Urban. The below frequency distribution and bar graft indicates that the highest member of AJ DAVIS department store chain consumes resides in urban areas accounting for 44% of the sample, the second highest member of AJ DAVIS department store chain consumes resides in Suburban areas and accounts for 30% of the sample while the smallest number
Running head: AJ Davis Customer Analysis AJ Davis Department Store Customer Analysis Course Project A Keller Graduate School of Management Abstract AJ Davis Department store needs to find out more about their many credit customers; a sample of 50 credit customers were selected to analyze and interpret data using 5 variables: 1. Location (Rural, Urban and Suburban) 2. Income (in $1,000’s) 3. Size (Household size) 4. Years (Number of years that the customer has lived in the current location) 5. Credit Balance (The customer’s current credit card balance on the stores credit card) First to be discussed is the individual attributes of the location, income, and credit balance.
The goal of this analysis is to use statistical methodology to predict sales at 2 potential locations at a much more accurate level and determine which location is likely to have higher sales. Data The data used in this analysis comes from census information in the stores’ trading zones as well as data on individual stores. Variables from the most recent census were compiled for the trading zone of each of the 250 stores. For each store there is data gathered on demographics and economics of the trading zones, as well as size, composition and sales of the store. There are a total of 28 quantitative demographic variables each measured as a percentage of the population within the trading zone, 2 quantitative store variables including sales and square feet, and 7 quantitative categorical variables for competitive type.
This document consists of a summary of an exploratory data analysis for AJ Davis Department Stores. AJ Davis seeks to know more about their customers which pay via credit. We will assess the location, income, household size, years lived at household and credit balance. The following data shall serve as a sample of AJ Davis’ customer base: Income ($1000) 54 30 32 50 31 55 37 40 66 51 25 48 27 33 65 63 42 21 44 37 62 21 55 42 41 54 30 48 34 67 50 67 55 52 62 64 22 29 39 Credit Balance($) 4016 3159 5100 4742 1864 4070 2731 3348 4764 4110 4208 4219 2477 2514 4214 4965 4412 2448 2995 4171 5678 3623 5301 3020 4828 5573 2583 3866 3586 5037 3605 5345 5370 3890 4705 4157 3579 3890 2972 Location Urban Rural Suburban Suburban Rural Urban Rural Urban Suburban Urban Urban
University of Phoenix Material Understanding Business Research Terms and Concepts: Part 3 Part I: Sampling design identification: (3 pts.) Each correct answer is worth .50 pt. Which probability sampling design —simple random, systematic, stratified, or cluster, or nonprobability sampling design - convenience, judgment, quota, or snowball is most appropriate for the following examples? 1. A researcher selects five states randomly, and then selects fifteen credit unions within each state to call for a phone survey about proposed new regulations.
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 4 556779 5 3444 5 7778 6 01124 6 568 7 14 Household The range of the amount of people per household is between one and eight with the average household size being 4.429. Based on 50 households 25 has a household size below four and 25 has a household size above four.
Despite this, there were some similarities to both economies. The main ones being that the south did actually have some industry, and that underneath the surface, both the north and the south were fundamentally rural. A fundamental difference between the economies of the north and the south was that the north was more urban. The north saw a much larger population of immigrants; this is because industrial expansion and urbanisation created jobs that attracted them to the north more than the south. Out of 5 million immigrants that arrived in America from 1815-1860, 1 in 6 chose to live in the north, compared to 1 in 30 in the south.
This may have been an interesting breakdown as nearly half of the sample claimed to be in the upper two options ($50k+). Additionally, these shoppers indicated a favoritism toward Burdines, with more of their last 10 purchases allocated to Burdines than any of the competitive brands. Approximately half of the sample is married, and just over 40% are “single”, although further clarification on if they are living with someone, dating someone, a parent/guardian, etc may prove useful in analysis. When looking through the data, awareness of the ability to return or gift-wrap packages at Burdines is high and awareness of e-cards or gift receipts is moderate across the total sample. When looking at this information by those who claimed to have seen Burdines advertising promoting them as the Gift Headquarters, there are minimal difference between those who said they had seen it and those who said they had not.