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.
An intersection with a high accident rate undergoes a safety revision. The number of accidents is then compared to the number of accidents prior to the change for a similar time period. Two samples related Two: This statistical test involves a cross-tabulation of two nominal level variables. Chi-square 3. A researcher calculates the home ownership percentage of the Easton neighborhood from sample data, and compares the result to the national average.
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.
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.
b) Draw a histogram and frequency polygon plot, and a relative frequency pie chart. c) What interval does the median number of car rentals per day fall into? 35,40 d) What percentage of business days had less than 30 car rentals? 15% e) How many business days had more than 45 car rentals? 10 6) Delta Airlines plans to make changes in its frequent-flier SkyMiles program.
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
1) High temperatures in a certain city for the month of August follow a uniform distribution over the interval 65°F to 87°F. What is the probability that a randomly selected August day has a high temperature that exceeded 70°F? A) 0.2273 B) 0.7727 C) 0.4605 D) 0.0455 SHORT ANSWER. Write the word or phrase that best completes each statement or answers the question. 2) You are performing a study about the weight of preschoolers.
Sun, Yue Oct. 20th 2014 12th Woman Store Data Main Body After launched a promotion as sending e-coupons to customers of a rival chain, 12th Woman Enterprise collected data for 100 in-store credit-card purchases during one day in the promotion period. Based on the available data set, the statistics show some traits of the customers of 12th Woman Enterprise. According to the data, it was about 70 percent of customers were promotional customers who used e-coupons to make purchases, while only 30 percent of the customers were regular (Table 1). From those 100 customers, 93 percent of them are female while only 7 percent are male; and most of the customers, like 84 percent, are married (Table 2 and Table 3). When grouping the customers by age, it shows that around 80 percent are between thirty to sixty years old, with the age “40 to 50” and “ 30 to 40” are the top two group both having a large percentage around 30% (Table 4).
(Wal-Mart Corporate Website) Huge turnover, large customer base and returning customers show that Wal-Mart has been able to achieve this goal in its 50 years of existence. Wal-Mart sources material from third world countries at low price. Very efficient supply chain management and bargaining power has enabled Wal-Mart to sell goods at low price. Company is also pursuing vertical integration strategy to lower cost. Answer-2) Wal-Mart Stores had turnover of $446.95 billion and net income of $15.77 billion in financial year ending
Customer Profitability and Customer Relationship Management at RBC Financial Group Case Assignment The first page of the case discusses Richard McLaughlin’s challenge to interpret the RBC customer profitability data and define an actionable strategy for managing the various market segments. Following are representative data for RBC Financial Group’s three major customer segments; Key, Growth, and Prime, described in the case. The first plot is customer lifetime value (CLTV) calculated over 5 years for different percentiles of customers. The second plot is customer value calculated just for the next one year for different percentiles of customers: This is the current customer profitability. The above calculations have been performed using the CLTV method described in the case.