Course Project Part A
September 15, 2013
Applied Managerial Statistics
Professor Mayers
Brief Introduction
The following report presents a detailed statistical analysis of AJ Davis Department Store credit customers. Data was collected from a sample of 50 AJ Davis credit customers on five variables which are Location, Size, Income, Years, and Credit Balance. Out of the five variables, Location,Size, and Income is emphasize more in this analysis. AJ Davis Department Store is very determined to find out more information about their credit customers. So by doing a in-depth analysis of the variables and their relationships through graphical, numerical summary and interpretation should give a detailed summary of their
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Descriptive Statistics: Years
Variable Location Mean StDev Variance Median Range IQR Mode
Years Rural 12.46 4.94 24.44 13.00 16.00 7.00 13, 15, 18 Suburban 6.467 2.949 8.695 6.000 9.000 5.000 10 Urban 10.045 3.982 15.855 10.000 17.000 5.000 10
The 2nd pairing of variables I combined together is Location and Years. I demonstrated the variables in a dot plot to illustrate the number of years the customer has been living in that location. The most years was more than 18 years and the location was in an urban area. The highest amount of dots was 10 years. The shape of the distribution is symmetric.
The last pairing of variables I combined together is Income and Size and it demonstrated in a scatter plot. The household size of 7 or 8 has the highest income is with over $69,000 and more. The shape of distribution is positive linear relationship.
Regression Analysis: Income ($1000) versus Size
The regression equation is
Income ($1000) = 33.5 + 2.78 Size
Predictor Coef SE Coef T P
Constant 33.499 3.523 9.51 0.000
Size 2.7824 0.6844 4.07 0.000
S = 12.0983 R-Sq = 25.6% R-Sq(adj) = 24.1%
Conclusion
As the result shows, the urban location is where most of AJ Davis Department Store comes from with 44%. The urban location also has a higher credit
WalMart's (NYSE:WMT) expertise in discount retailing is globally recognized, as is their supply chain and extensive logistics capabilities. What differentiates WalMart from the many other discount retailers is their extensive reliance on buyer personas or representations of their customers. All aspects of the WalMart value chain are predicated on serving their customers as cost-effectively and efficiently as possible. WalMart has also created an extensive information systems network that includes satellite uploads of data on a daily basis from their thousands of retail locations to their Bentonville, Arkansas headquarters (WalMart Investor Relations, 2013). The intent of this analysis is to evaluate the mission, vision and strategy of WalMart from the perspective of improving its customer service while also taking into account its financial position. To accomplish this, objectives are provided, combined with performance measures and expected levels of performance as well. All of these factors taken together provide senior management at WalMart with insights into how they can profitably improve customer service.
10. Identify whether these distributions are negatively skewed, positively skewed, or not skewed at all, and why.
Rather what I want you do is to highlight what you see for three individual variables (no more than 1 graph for each, one or two measures of central tendency and variability (as appropriate), and two or three sentences of interpretation). For the 10 pairings, identify and report only on three of the pairings, again using graphical and numerical summary (as appropriate), with interpretations. Please note that at least one of your pairings must include Location and at least one of your pairings must not include Location.
The following report presents a detailed statistical analysis of AJ DAVIS department store customers. Data was collected from a sample of 50 AJ DAVIS credit customers for the purpose of learning more about the customers of AJ DAVIS.
To better understand this graph, 1 thru 7 in x axis represents the number of people. Each dot represents on the iterations of each number. For example “1” on x axis, there are 5 dots, which means there are 5 customers who are single. “7” on x axis, there are 3 dots, which mean there are 3 customers who have 7 people in the house. From this graph it could be concluded that majority of customers are couples living in a household (15).
Step 1: Null Hypothesis: The average (mean) number of years lived in the current home is equal to 8 years.
This scatter plot graph is a representation of combining income and credit balance. It shows the income increasing as the credit balance increases. As a result of this data it can be inferred that there is a positive relationship between the two variables. Because of the positive relationship between income and credit balance the best fit line or linear regression line fits the data quite well. The speculation can be strongly made that the
Since 1992 when Arthur C. Martinez was brought on board to head Sears’s retailing operations, credit sales, especially through the use of the company’s own proprietary credit card, boost the sales of the company greatly from 1993 to 1997. The new card accounts between 1993 and 1996 were increasing by roughly a 50% rate every year. Besides the company’s own credit cards, the third
AJ Davis is a department store chain, which has many credit customers and want 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 customer has lived in the current location), and Credit Balance (customers current credit card balance on the store’s credit car, in $).
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The Kroger Company is a leading grocery retail chain that prides itself on its customer satisfaction and conducting ethical business. Kroger operates nearly 2500 grocery retail stores in 31 states. An internal evaluation of the company's strengths and weaknesses are analyzed, in addition to an analysis of the company's external opportunities and threats. In coordination with this a consumer characteristic and behavior was diagnosed along with Kroger's strategic direction for its company.
Enterprise used the survey to capture data about customer’s satisfaction. Management objectives are to keep current customers satisfied, improve customer service and increase car rental in the remaining 20% in the discretionary market. Research objectives to determine the level of satisfaction: Customer’s rental car experience, the rental process, vehicle preferences, customer awareness and rental history. With the data provided the company will be able to determine if a satisfied customer will be a repeat customer and refer others to the company.
Pelican Stores, a division of National Clothing, is a chain of women's apparel stores operating throughout the country. The chain recently ran a promotion in which discount coupons were sent to customers of other National Clothing stares. Data collected for a sample of 100 in-store credit card transactions at Pelican Stores during one day while the promotion was running are contained in the file named Pelican Stores. Table 2.17 shows a portion of the data set. The Proprietary Card method of payment refers to charges made using a National Clothing charge card. Customers who made a purchase using a discount coupon are referred to as promotional customers and customers who made a purchase but did not use