...Individual Variable: Income 3.0 Individual Variable: Size 4.0 Individual Variable: Credit Balance($) 5.0 Pairing of Variables: Income($1000) vs. Years 6.0 Pairing of Variables: Credit Balance($) vs. Income($1000) 7.0 Pairing of Variables: Credit Balance($) vs. Location 8.0 Conclusion 9.0 References List 1.0 Introduction This report is done base on a sample of 50 credit customers with AJ DAVIS is selected with data collected base on five variables as following: • Location (Rural, Urban, Suburban) • Income (in $1,000's) • 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 current credit card balance on the store's credit card, in $). To have more understand of what the data truly mean, three of individual variable and three of pairing variable are analyzed by using numerical techniques of summarization as and graphical such as stem-leaf diagram, histogram, boxplot, and bar chart on this report. Since a bar graph is useful for comparing facts and help us to see relationships...
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...data retrieved from AJ DAVIS department store. It includes data from five variables. I will discuss three individual variables and three pairing. The 1st individual variable I will discuss is Location: Frequency Distribution: Location Frequency Urban 1 22 Rural 2 13 Suburban3 15 The pie chart and frequency distribution indicates that majority of AJ DAVIS credit customer resided in the urban area, at 44%. However, the rural and suburban area accounts for over a quarter of the credit holders. This shows that although the major of credit customer resident in urban areas, it is important to cater to the rural and suburban customer as well. This will maintain current credit customers and can increase the number of credit customers in the store chain. The 2nd individual variable I will discuss is Income: Descriptive Statistics Mean 43.74 SD 14.63963 Variance 214.3188 As shown in the descriptive statistics, the mean income is 43.73,000 for credit customers. Credit holders for AJ DAVIS income range from 20,000 to 69,000. The highest frequency of income is 30,000-39,000. The 3rd individual variable I will discuss is Size: Descriptive Statistics Mean 3.42 Median 3 Mode 2 Mean household size for credit customers is 3.42. The highest frequency in household size is 2. This indicates that AJ DAVIS credit customer may shop for multiple people at their visits to the department store. The following...
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...| Course Project: AJ DAVIS DEPARTMENT STORES | | | | | | This is a report presenting detailed statistical analysis of the data collected from a sample of fifty credit customers in the department chain store AJ DAVIS. Data was collected on five variables, which were location, income, size, years at current location and credit balance. The first variable analyzed was that of Location. The location data is a categorical variable. Which was further broken down into three subcategories? These subcategories are Urban, Suburban and Rural. A frequency distribution and pie chart are given as follows: Frequency Distribution: | Location | Frequency | Urban | 21 | Suburban | 15 | Rural | 14 | The pie chart and frequency distribution, proves that the largest number of customers are those in the rural category (42%), followed by those in the suburban category (30%). There are only 28% of the customers falling into the urban category. The next variable analyzed was Size. It is a quantitative variable. Central tendency, variation and a bar graph were calculated for the Size variable. The mean household size of the customers is 3.42. And the median of the data collected is 3, the mode is 2. The standard deviation is rounded to the nearest one hundredth and is 1.74. Upon reviewing the frequency distribution chart and the bar graph, the largest number of customer household size is 2. Size | Mean | 3.42 | Median | 3 | Mode | 2 | Standard...
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...Course Project: AJ Davis Department Stores Natasha Unaphum MATH533: Applied Managerial Statistics September 10th, 2014 Professor Rolston Introduction: AJ Davis is a department store chain, they are trying to get to know more about their clientele and to further expand their business. A sample of 50 credit customers are selected for this research, information that includes, location (rural, urban or suburban), Income (in $1,000), size (household size), years (number of years lived in that location), and credit balance (customers current credit card balance on the store’s credit card). Discuss your 1st variable, using graphical, numerical summary and interpretation Numerical Summary of Credit Balance are as follows: Mean: 3970.5 Minimum: 1864 Standard Deviation: 931.9 Q1: 3109.3 Variance: 868429.8 Median: 4090 Skew: -0.15043 Q3: 4747.5 N: 50 Max: 5678 The histogram above shows the Credit Balance variable of the 50 customers surveyed. The histogram is almost symmetrical with one outlier which is the credit balance of $2,000. While it being symmetrical you can almost fold the y-axis in half to have it look the same. While observing the histogram, its skewed to the left because of the outlier, and the skew is -.015043. Using the Anderson-Darling Normality Test, the P-value for Credit Balance is 0.400, and A^2 is 0.38. Throughout...
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................................ 5 III. Relationships.......................................................................................................................... 6 Location and Credit Balance................................................................................................ 7 Credit Balance and Household Size .................................................................................... 8 Income and Credit Balance .................................................................................................. 8 References............................................................................................................................... 9 I. Introduction & Overview AJ Davis is a department store chain, which has many credit customers and wants to find out more information about these customers. The total sample set of 50 credit customers is selected with data collected. The following data were provided for analysis. 1. Location: a. Urban b. Suburban c. Rural 2. Income 3. Household Size (number of people living in the...
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...Sarah R Klemm GM533 Course Project Part A 7/21/13 Introduction: This report includes a comparision of 50 AJ DAVIS department store credit card customers. The report takes 5 individual variables, location, income ($1000), size, years (the number of years a customer lived in a certain location) and credit balance (the customer’s current credit card balance on the store’s credit card, in dollars) and compares them both graphically and numerically. A. The first variable discussed in location of the customers. The chart below is a bar graph seperating the 50 credit card customers into rural, suburban and urban locations. The bar graph shows that most of the credit card customers are located in urban areas and the least amount of credit card customers are located in rural areas. B. The second variable discussed in the income of the household in thousands based on the histogram and box plot below. The histogram shows the frequency in which credit card customers with household incomes between $20,000 and $65,000 have credit cards. The boxplot shows where the highs and lows of those income categories fall. C. The third variable graphed is the years the credit card customer has lived in their current location. Based on the histogram below most credit card customers have lived in their current location around 15 years. The histogram shows the tallest frequency above the 15 year mark. Whereas the dotplot shows that the highest number of years is at 14 and...
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...In: Business and Management Applied Managerial Statistics 12 Course Project AJ DAVIS DEPARTMENT STORES PROJECT PART A In this course project, my aim is to present the statistical analysis of the data for Aj Davis departmental store chain, which has many credit customers and wants to find out more information about these customers. In analyzing the individual variable, using graphical illustrations I would be using histogram, bar chart and a pie chart because there are useful when using numerical comparison. The 3 individual variables 1) The 1st individual variable, I choose is the credit balance of the customers. Credit Balance Numerical Summary: | Credit Balance($) | Mean | 3970 | Median | 4090 | Mode | 3890 | Standard Deviation | 932 | Skewness | -0.15 | Range | 3814 | Minimum | 1864 | Sum | 198523 | Maximum | 5678 | Interpretation The mean credit balance of the customers is given as $3970. The standard deviation is given approximately as 932. The credit balance of the customers is more or less normally distributed with the peak of the bell shaped distribution lying in the range 3814. 2) The 2nd individual variable, I choose is the household size. Thus the number of people living in the households. SIZE Frequency Distribution | Size | Frequency | 1 | 5 | 2 | 15 | 3 | 8 | 4 | 9 | 5 | 5 | 6 | 5 | 7 | 3 | Interpretation The mean of the household size is known as 3 approximately as...
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...Introduction AJ Davis, a large department store chain, is trying to gather more information about their credit customers. A sample of 50 credit customers were selected based on five variables which include location (rural, urban, suburban), income (in $1000s), size (household size), years (number of years at current location), and credit balance (the current balance on the store’s credit card, in $s). Variable One – Location The location variable takes a look at where the customers reside and has three subcategories, which includes rural, urban, and suburban. A pie chart, like the one shown above, is a circular graph that divides the information into segments based on numerical values. A frequency distribution table allows us to look at...
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...Analysis Introduction & Overview AJ Davis is a department store chain, which has many credit customers and wants to find out more information about these customers. The total sample set of 50 credit customers is selected with data collected. The below data was provided in order to perform the analysis. 1. Location: a. Urban b. Suburban c. Rural 2. Income 3. Household Size (number of people living in the household) 4. Years (the number of years that the customer has lived in the current location) 5. Credit Balance (the customer’s current credit card balance on the store's credit card) Individual Variables Five individual variables were provided for review: Location, Income, Household Size, Years, and Credit Balance. Below is a statistical analysis summarizing the key points referencing Location, Income and Credit Balance. Variable: Location The location of AJ Davis’ customers is distributed between three classes of urban, suburban and rural areas. Of the total number of customer locations in the sample set of 5; 13 are located in rural, 15 in suburban and 22 in urban locations. The pie chart shows that just less than half of all AJ Davis’ customers live in urban (44%) areas, yet customers that live in rural (26%) and suburban (30%) areas are relatively evenly distributed. The rural and suburban areas combine to compromise 56% of AJ Davis’ credit customer base in which they are interested in. This should be useful information to AJ Davis as about half of their credit customers...
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...Exploratory Data Analysis AJ Davis Project Part A January 18, 2013 Overview of Analysis 3 Individual Variable Analysis 4 Relationship between variables 8 Conclusion 10 Bibliography 11 Overview of Analysis AJ Davis is a department store chain, which has many credit customers and wants to find out more information about these customers. The department store provided a sample of 50 customers. The following data was provided for analysis: 1. Location a. Rural b. Urban c. Suburban 2. Income (measured in $1000’s) 3. Household size 4. Years in current location 5. Store credit balance Individual Variable Analysis Five individual variables were provided for analysis: Location, Income, Household size, Years at location and Credit balance. Below is a summary of the key points on the following individual variables: Location, Size and Credit Balance. Variable: Location The first individual variable summary presented is Location. The variable location has 2 subcategories from which data was reported: Rural, Urban and Suburban. As this is qualitative data only no measures of central tendency or descriptive statistics will be given. Based on the frequency distribution and the pie chart, the maximum number of customers from the sample live in Urban locations, with this variable representing 44% of the sample. Customers in the represented in the Rural areas is 26% and customers in the Suburban area represents 30% of the...
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...MATH533: Applied Managerial Statistics Course project – part A I. 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, Suburban) 2. Income (in $1,000’s) 3. Size (Household size) 4. Years (the number of years that the customer has lived in the current location) 5. Credit balance (the customers current credit balance on the store’s credit card, in $) II. Individual variables. 1. Location Tally for Discrete Variables: Location Location Count Percent Rural 13 26.00 Suburban 15 30.00 Urban 22 44.00 N= 50 [pic] Interpretation: Look at the table and the pie chart above, we can see the location of AJ Davis’ customers is distributed in 3 areas: rural, urban and suburban. The majority of customer live in urban areas with 44%. Suburban areas with 30% of customers are the second and rural areas have the least amount of customers with 26%. 2. Income. Descriptive Statistics: Income ($1000) Total Variable Count Mean StDev Minimum Q1 Median Q3 Maximum Income ($1000) 50 43.74 14.64 21.00 30.00 43.00 55.00 67.00 Variable Range Income ($1000) 46.00 [pic] Interpretation: Based on the table and histogram, we have some comments as follow. The range of customer’s...
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...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, Suburban) 2. Income (in $1,000’s) 3. Size (Household size) 4. Years (the number of years that the customer has lived in the current location) 5. Credit balance (the customers current credit balance on the store’s credit card, in $ Dollars) Individual variables a. Location Location | Frequency | Relative Frequency | Rural | 13 | 0.26 | Suburban | 15 | 0.3 | Urban | 22 | 0.44 | n= | 50 | 1 | The table and the pie chart above, show the location of AJ Davis’ customers distributed in 3 areas: rural, suburban and urban. The majority of customers live in urban areas with 44% or 22 out of 50. Suburban areas with 30% or 15 out of 50 of customers are the second and rural areas have the least amount of customers with 26% or 13 out of 50. b. Income Variable Income ($1000) | | | | n=50 | | | | | | | | | | Mean= 43.74 | Std Dev=14.64 | | Q1=30 | Median=42 | | Min=21 | | Q3=55 | Mode=55 | | Max=67 | | Range=46 | Based on the table and histogram, the range of customer’s income is $46,000, with the highest income at $67,000 and the lowest at $21,000. The mean (average) income of a customer is $43,740. The median income is $43,000. Because the median is less than the...
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...AJ DAVIS DEPARTMENT STORES Credit Customer Sample Analysis September 16 2013 Created by: Created for: Upper Management TABLE OF CONTENTS Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3 Income by Location (Bar Graph) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4 Credit Balances by Income (Histogram) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5 Credit Balances by Size (Scatterplot) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6 Credit Balances by Location (Box Plot) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7 Size Frequency (Dotplot) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8 Conclusion . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9 INTRODUCTION AJ Davis is a department store chain with many customers who hold credit accounts at the store. The company’s management group wants to analyze the data collected and summarized to determine if there is any connection or relationship between the information...
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...MATH533 Given: 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) 5. CREDIT BALANCE (the customers current credit card balance on the store's credit card, in $). Each variable was individually considered. Location: A categorical variable, with 3 subcategories, which are; Urban, Suburban and Rural. The frequency distribution and Bar chart are given as follows: Frequency Distribution: | | Location | Frequency | | Urban | 22 | | Suburban | 15 | | Rural | 13 | | | | | From the frequency distribution and bar chart, it is clear that the maximum number of customers belongs to the urban sub-category (44%), followed by those in the suburban sub-category (30%). Only 26% of the customers belong to the rural sub-category. The next variable considered is Size. It is a quantitative variable. The measures of central tendency, variation and other descriptive statistics have been calculated for this variable and are shown below: Frequency Table | Value | Frequency | Frequency % | 1 | 8 | 16.00 | 2 | 7 | 14.00...
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...Introduction AJ Davis, a large department store chain, has enlisted my company to help them find out more about their customers who shop using credit. A sample of 50 credit customers were selected based on five variables which included location, income, size, years, and credit balance. Location (Rural, Urban, Suburban) Income (in $1,000s) Size (Household Size) Years (Number of Years That the Customer Has Lived in the Current Location) Credit Balance (The Customers Current Credit Card Balance on the Store’s Credit Card) We will take a look at three different variables at this time. Location The location variable has three subcategories which include rural, urban, and suburban. This variable is looking at where customers live. A pie chart is a circular graph which divides information into sections based on numerical proportions. Frequency distribution tables allow us to look at variables and their frequencies (or how many times the variables occur). Frequency Distribution Location Frequency (# of Customers) Urban 21 Suburban 15 Rural 14 Interpretation: Based on the information shown in both the pie chart and the frequency distribution chart, we can see that more of the customers (21/50 = 42%) are from urban areas. Suburban areas are next with (15/50) 30% of the customers and rural areas have the least amount of customers with (14/50) 28%. Credit Balance The credit balance is the amount of funds that are currently charged to...
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