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. ...
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; ...
In this course project, we have been provided 5 different variables with 50 samples. They are “location”, a qualitative variable, and 4 quantitative variables, ”income”, “size”, “year” and “credit balance”. Each of them has a kind of relation that can link together, and because of that we can be able...
AJ Davis Department Stores collected data to be analyzed. According to the data on credit card customers the following information was determined. The largest percentage of credit card customers are located in urban areas, Suburban is second with rural customers being the lowest percentage of...
The below report presents the detailed statistical analysis of the data collected from a sample of credit customers in the department store “AJ DAVIS Departmental stores”. The 1st individual variable considered is Location. It is a category variable. The three subcategories are Urban, Suburban and...
BALANCE (the customers current credit card balance on the store's credit card, in $). The data appears below, and is available in Doc Sharing Course Project Data Set as an EXCEL file: LOCATION INCOME($1000) SIZE YEARS CREDIT BALANCE($) Urban 54 3 12 4016 Rural 30 2 12 ...
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...
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...
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...
Statistics is all about analysing/comparing raw/processed data to come up to realistic conclusions. This can be related to population growth, company's progress etc. - which is a lot more. This data can be in millions and billions. So Important and relevant data is to be extracted and same time processed...
the left because the skewness is -0.150 and the kurtosis is -0.721 which make it have lower value which indicates a lower, less distinct peak. C. Discuss your 3rd individual variable, using graphical, numerical summary and interpretation: A histogram shows the distribution of data within the...
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...
The average (mean) annual income was less than $50,000. b. The true population proportion of customers who live in an urban area exceeds 40% c. The average (mean) number of years lived in the current home is less than 13 years d. The average (mean) credit balance for suburban customers is...
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...
Location Location Income ($1000) Size Years Credit Balance($) Urban 1 54 3 12 4016 Rural 3 30 2 12 3159 Suburban 2 32 4 17 5100 Suburban 2 50 5 14 4742 Rural 3 31 2 4 1864 Urban 1 55 2 9 4070 Rural 3 37 1 20 2731 Urban 1 40 2 7 3348 Suburban 2 66 4 10 4764 Urban 1 51 3 16 4110 Urban 1 25 3...
Ryan McKinney 7/21/2013 Math 533 - AMS I will be going over data provided about our customers based off there location, income size, household size, years at current location, and the credit balance they carry with our company. Using statistical analysis we can learn more about our customers and...
Course Project Part Three Professor Douglas Nottingham March 27, 2014 1. Generate a scatterplot for CREDIT BALANCE vs. SIZE, including the graph of the "best fit" line. Interpret. The larger the size of the family the larger the credit balances is for the...
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...
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...
First chart up is the variable location. Three categories are listed in the charts. Frequency Distribution: Location Frequency Urban 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...