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: .625 3. Question : Joe is considering pursuing an MBA degree. He has applied to two different universities. The acceptance rate for applicants with similar qualifications is 25% for University A and 40% for University B. What is the probability that Joe will not be accepted at either university? Answer: 0.45 Instructor
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Statistical Report The Relationships between 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)
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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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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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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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Gm 533 Final Paper Executive Summary An analysis was performed for Quick Stab Collection Agency. This agency specializes on relatively small accounts and avoids risky collections such as debtor that tends to be chronically late with payments or is known to be hostile. The collection business can be very profitable. Quick Stab Collection Agency has been known to purchase small accounts for $10.00 to collect a debt of $60.00. The profitable of this agency depend critically on the numbers of days
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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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21 Suburban 15 Rural 14 As the Pie Chart above shows the majority of the customers comes from the rual areas totaling 42% The Second will be the size chart. This will measure tendency‚ variation‚ mean‚ median and mode. Descriptive Statistics: Size Mean 3.42 Standard Error 0.24593014 Median 3 Mode 2 Standard Deviation 1.73898868 Sample Variance 3.02408163 Kurtosis -0.7228086 Skewness 0.52789598 Range 6 Minimum 1 Maximum 7 Sum 171 Count 50 Frequency Distribution: Size
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