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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of property crime in the United States. Many believe that the degree of property crime is determined by various factors including per capita income for each state‚ percentage of public aid recipients‚ high school dropout rates and many more. This project seeks to provide evidence for or against some of these common perceptions about property crime. Specifically it seeks to answer the questions: are crime rates higher in urban than rural areas? Does unemployment or education level contribute to property
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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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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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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 statistic. In order to do the calculations by hand‚ we have p hat = (0.4*50)/50=0.4 and q=1-0.4=0.6 and n=50. P>0.4 mean that 21/50=0.42 then p > 0.42 Z- test statistic: z= (phat- P0 )/√((po*q)/n) = (0.4-0.42)/(/√((0.4*0.6)/50)) = -0.2887 4. Compare the test statistic to the rejection region and make a judgment about the null hypothesis. Reject H_0‚if z>1.645 -0.2887alpha(0.05)
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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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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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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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Summary: AJ Davis department store has asked to take a look at a sample of customers (sample size: 50) in order to more efficiently generate sales and also appeal to their more profitable segment. In order to better understand their customers a statistical analysis and interpretation must be 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
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