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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INTRODUCTION Base on the 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 $4‚300 Using the sample data‚ we will perform hypothesis
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AJ Davis Department Stores - Project Part A‚ B‚ and C Stacie Borowicz June 14‚ 2013 Math 533 Project Part A – Exploratory Data Analysis Credit Balance ($) Based on a sample of 50 customers‚ the credit balance for customers of Davis Department stores is on average $3970.00. Based on the graph‚ 18 of the 50 sampled fall below and 17 fell above the average. The standard deviation for credit balance is 931.9. Income Annual Income of Davis Department Stores customers range anywhere
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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
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The following report presents the detailed statistical analysis of the data collected from a sample of credit customers in the department chain store AJ DAVIS. The 1st individual variable considered is Location. It is a qualitative variable. The three subcategories are Urban‚ Suburban and Rural. Since this is a qualitative variable‚ the measures of central tendency and descriptive statistics has not been computed for this variable. The frequency distribution and pie chart are given as follows:
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A. Brief Introduction There are 50 credit customers who were selected for the data collection on five variables such as location‚ income‚ size‚ years‚ and credit balance. In order to understand more about their customer‚ AJ DAVIS must use graphical‚ numerical summary to be able to interpret and better expand their business in the future. B. Discuss your 1st individual variable‚ using graphical‚ numerical summary and interpretation A histogram shows the distribution of data within the Income.
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AJ 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? Is the credit balance for suburban customers more than $3200? Hypothesis testing and confidence
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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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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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Problem N°1 1.Formulate the null and alternative hypotheses. Null Hypothesis: The average (mean) annual income was greater than or equal to $50‚000 H_0: μ≥50000 Alternate Hypothesis: The average (mean) annual income was less than $50‚000. H_a: μ 30 we will use the z-test. As Ha:μ0.40 the‚ test is a right tailed z-test. The critical value for significance level‚ α=0.05 for a right tailed z-test is given in the table as: 1.645. Decision Rule: Reject H_0‚if z>1.645 3. Calculate the test
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