Wednesday, May 6, 2020

Part A Aj Davis Department Store - 1479 Words

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†¦show more content†¦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 creditShow MoreRelatedEssay on Aj Davis Department Store Part B892 Words   |  4 PagesAJ Davis Department Store Part B AJ Davis Department Store Introduction The following information will show whether or not the manager’s speculations are correct. He wants to know the following information: Is the average mean greater than $45,000? Does the true population proportion of customers who live in an urban area exceed 45%? Is the average number of years lived in the current home less than 8 years? 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The average (mean) annual income was less than $50,000 †¢ Null Hypothesis is the average annual income is ≠¥ to $50,000. o Ho:  µ ≠¥ 50,000 †¢ Alternate Hypothesis is the average annual income is than $50,000. o Ha:  µ 50,000 †¢ Analysis Plan significance level is: a = 0.05 †¢ n 30 the z test was used to test the hypothesis †¢ Alternative Hypothesis Ha:Read MoreEssay on Math 533 - Course Project Part a948 Words   |  4 PagesAJ 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: LOCATION (Rural, Urban, Suburban) INCOME (in $1,000s – be careful with this) SIZE (Household Size, meaning number of people living in the household) YEARS (the number of years that the customer has lived in the current location) CREDIT BALANCE (the customers currentRead MoreMath 5332086 Words   |  9 PagesBrief Introduction: 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 $)Read MoreAnalyzing and Summarizing Math Data1438 Words   |  6 PagesIntroduction | | |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, Suburban) 2. INCOME (in $1,000 s – be careful with this) 3. SIZE (Household Size, meaning number of people living in the household) 4. YEARS (the number of years that the customer has lived in the current location)

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