Brief 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 $)
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Course Project Part Three Professor Douglas Nottingham March 27‚ 2014 1. Generate a scatterplot for CREDIT BALANCE vs. SIZE‚ including the graph of the "best fit" line. Interpret. The larger the size of the family the larger the credit balances is for the family. The larger families have the financial needs to have a larger credit balance. 2. Determine the equation of the "best fit" line‚ which describes the relationship between CREDIT BALANCE and SIZE. Credit Balance ($)
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AJ DAVIS AJ DAVIS MATH 533 Project Consumer Tel – 123-456-7891 July 21st 2013 MATH 533 Project Consumer Tel – 123-456-7891 July 21st 2013 Lakshan Nanayakkara AJ DAVIS is a department store chain‚ which has many credit customers. A sample of 50 credit customers is selected with data collected on location‚ income‚ credit balance‚ number of people and years lived in the house Lakshan Nanayakkara AJ DAVIS is a department store chain‚ which has many credit customers. A sample of 50 credit
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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. The first variable considered is Location‚ a categorical variable. The three subcategories are Urban‚ Suburban and Rural. The frequency distribution and pie chart are included. Measures of central tendency and descriptive statistics are not calculated due to the
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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: LOCATION (Rural‚ Urban‚ Suburban) INCOME (in $1‚000’s – 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 current
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data collected in the previous samples‚ the manager has made an alternative hypothesis on the following: A) The average (mean) annual income was less than $50‚000 B) The true population proportion of customers who live in an urban area exceed 40% C) The avarage (mean) number of years lived in the current home is less than 13 years D) The avarage (mean) credit balance for suburban costumers is more than $4‚300 Using the sample data‚ we will perform hypothesis tests on the aforementioned situations
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AJ Davis Department Stores Course Project Part A: Exploratory Data Analysis Tiffahanie Seger GM533 Applied Managerial Statistics Professor Keyhani Project Part A: Exploratory Data Analysis: A. Brief Introduction AJ Davis‚ a popular department store chain‚ retains many credit customers. Therefore‚ they completed an in-depth study to find out more about these customers who are essential to their future success as a company. A sample of fifty customers were selected
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A P P E N D I X E S Tables and Data Sets A Areas under the Normal Curve B Student’s t Distribution C Data Set 1 — Real Estate D Data Set 2 — Major League Baseball E Data Set 3 — OECD F Data Set 4 — Northwest Ohio School Districts G Critical Values of the F Distribution H Critical Values of Chi-Square I Binomial Probability Distribution J Factors for Control Charts K Poisson Distribution L Table of Random Numbers M Wilcoxon T Values N Banking Data Set — Case 262 Appendixes Appendix A Areas
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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. Location Rural Urban Suburban Income Size Year Credit Balance By analysis the data which is collected on above mentioned variable in StatCrunch (Minitab) we would identify the customer’s income level‚ credit
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Math 533 Project Part B In regards to the dataset from AJ Department store‚ your manager has speculated the following: the average (mean) annual income is less than $50‚000‚ the true population proportion of customers who live in an urban area exceeds 40%‚ the average (mean) number of years lived in the current home is less than 13 years‚ the average (mean) credit balance for suburban customers is more than $4300. Part 1. Using the sample data‚ perform
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