Location‚ Income‚ and Credit Balance for the customers of AJ Davis Department Store Math 533 Course Project Part A AJ DAVIS DEPARTMENT STORES AJ Davis Department Store Customer Research A. Brief Introduction The department store AJ Davis would like to find out more information about their 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)
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confidence intervals and Minitab output In order to understand how hypothesis testing is done it is important that you know the elements of the Test of Hypothesis‚ and what each step means. The Seven elements of a Test of Hypothesis are: 1. Null Hypothesis - A theory about the specific values of one or more population parameters. The theory generally represents the status quo‚ and we accept it until proven false. 2. Alternative (research) hypothesis (Ha)- A theory about the specific
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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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for all the 50 states of the US (i.e. sample size of 50) and were gathered from various sources‚ including a variety of US government sources‚ among which are: the 1988 Uniform Crime Reports‚ Federal Bureau of Investigation‚ Office Research and Statistics‚ Social Security Administration‚ The Commerce Department and other government sources. The variables analyzed are as follows: CRIMES - Property crime rate per hundred thousand inhabitants (includes burglary‚ larceny‚ theft‚ and motor vehicle theft)
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1. Question : Employees of a local university have been classified according to gender and job type. If an employee is selected at random what is the probability that the employee is male? Answer: .667 2. Question : Employees of a local university have been classified according to gender and job type. If an employee is selected at random what is the probability that the employee is female given that the employee is a salaried member of staff? Answer:
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performed. AJ Davis is hoping to achieve insight on how to improve their department store operations and strengthen their customer loyalty. We have taken both quantifiable and qualitative information and have performed descriptive and inferential statistics on the data collected. We do have to disclaim that these are only from a select few from the customer base and does not represent the entire population. Therefore‚ the interpretations based on the sample group need to be kept in perspective and
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PROJECT PART C: Regression and Correlation Analysis Math-533 Applied Managerial Statistics Prof. Jeffrey Frakes December 12‚ 2014 Jared D Stock 1. Generate a scatterplot for income ($1‚000) versus credit balance ($)‚ including the graph of the best fit line. Interpret. This scatter plot graph is a representation of combining income and credit balance. It shows the income increasing as the credit balance increases. As a result of this data it can be inferred that there is
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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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Managerial Statistics Distinguish between primary data and secondary data? OBJECTIVE The main objective of this topic is to measure the degree of relationship between the variables under consideration.The correlation analysis refers to the techniques used in measuring the closeness of the relationship between the variables. DEFINITION Some important definitions of correlation are given below: 1. “Correlation analysis deals with the association between two or more variables”. ---- Simpson &
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1) Suppose that an independent laboratory has tested trash bags and has found that no 30-gallon bags that are currently on the market have a mean breaking strength of 50 pounds or more. On the basis of these results‚ the producer of the new‚ improved trash bag feels sure that its 30-gallon bag will be the strongest such bag on the market if the new trash bag’s mean breaking strength can be shown to be at least 50 pounds. The mean of the sample of 40 trash bag breaking strengths in Table 1.9 is x=50
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