Course Project Part B a. the average (mean) annual income was less than $50‚000 Null and Alternative Hypothesis H0: mu= 50 (in thousands) Ha: mu<50 (in thousands) Level of Significance Level of Significance = .05 Test Statistic‚ Critical Value‚ and Decision Rule Since alpha = .05‚ z<-1.645‚ which is lower tailed Rejection region is‚ z<-1.645 Calculate test statistic‚ x-bar=43.74 and s=14.64 Z=(43.74-50)/2.070=-3.024 2.070 is calculated by: s/sq-root of
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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 $)
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AJ Davis Department Stores - Project Part A‚ B‚ and C Stacie Borowicz June 14‚ 2013 Math 533 Project Part A – Exploratory Data Analysis Credit Balance ($) 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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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 categorical variable. The three subcategories are Urban‚ Suburban and Rural. Since this is a categorical variable‚ the measures of central tendency and descriptive statistics has not been calculated for this variable. The frequency distribution and pie chart are given as follows: Frequency
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August 26‚ 2012 MATH 533 Course Project Part C Professor Khago Introduction: The following report displays regression and correlation analysis for AJ Davis Department Stores data on credit balance and size. We will use the data collected from 50 credit customers to complete the following analysis; * Generate a scatterplot for CREDIT BALANCE vs. SIZE‚ including the graph of the "best fit" line. Interpret. * Determine the equation of the "best fit" line‚ which describes the relationship
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PROJECT PART B: Hypothesis Testing and Confidence Intervals Math-533 Applied Managerial Statistics Prof. Jeffrey Frakes December 8‚ 2014 Jared D Stock A.) The average (mean) annual income was greater than $45‚000 Null Hypothesis: The average (mean) annual income is greater than or equal to $45‚000. Ho: u > $45‚000 Alternative Hypothesis: The average (mean) annual income was less than $45‚000 Ha: u < $45‚000 I will use a = .05 as the significance level‚ and observing the
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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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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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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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