...Course Project Part A Math 533 Keller Graduate School of Management Sept. 13, 2013 The purpose of this report is to provide feedback to AJ Davis Department Store so that they will have a better understanding of the makeup of their customer. This report will utilize three of the five customer variables that were determined by AJ Davis. The variables that were used for this study were: Income, location, credit balance, family size, and years at current household. Using these variables I will show how there may or may not be correlations between some variables and not others. Also, numerical descriptions will be used to show mean income, minimum and maximum credit balances, and family size just to give a few examples. Now that we have established a basis for this report let’s look at the analysis of the data. The first information we are going to discuss is customer income. Here is a statistical description of the income of all 50 of the customers that were sampled for this report. Descriptive Statistics: INCOME ($1000) Variable N Mean StDev Minimum Q1 Median Q3 INCOME($1000) 50 43.48 14.55 21.00 30.00 42.00 55.00 Variable Maximum INCOME($1000) 67.00 The information above shows that the average income of the customers at AJ Davis is $43,480 per year given the 50 customers who were sampled. It also shows us that 25% of the customers that were sampled have an income of #30,000 or less and 75% of their customers...
Words: 1069 - Pages: 5
...PROJECT PART A Exploratory Data Analysis Keller Graduate School of Management GM533: Managerial Statistics (Downers Grove, IL) Table of Contents I. Introduction & Overview .................................................................................................... 3 II. Individual Variables............................................................................................................. 4 Variable: Location................................................................................................................ 4 Variable: Income.................................................................................................................. 4 Variable: Credit Balance .................................................................................................... 5 III. Relationships.......................................................................................................................... 6 Location and Credit Balance................................................................................................ 7 Credit Balance and Household Size .................................................................................... 8 Income and Credit Balance .................................................................................................. 8 References............................................................................................................................... 9 I. Introduction...
Words: 1221 - Pages: 5
...Exploratory Data Analysis Course Project Part A Subject: Applied Managerial Statistics Faculty: Curtis Allen Brown Submitted by: Christian Oji Introduction Exploratory Data Analysis (EDA): Exploratory data analysis is an approach to analyze statistical data using a variety of techniques out of which many are graphical analyses. EDA is used to dissect the data and look for the hidden patterns and correlations. Some of the graphical methods include pie charts, bar graphs, histograms, frequency and relative frequency tables, box plot, scatter graph, stem-leaf diagram etc. There are also quantitative measures of data which include central tendencies like mean and median, measure of dispersion like standard deviation, minimum and maximum...
Words: 983 - Pages: 4
...PART A- Exploratory Data Analysis Introduction & Overview AJ Davis is a department store chain, which has many credit customers and wants to find out more information about these customers. The total sample set of 50 credit customers is selected with data collected. The below data was provided in order to perform the analysis. 1. Location: a. Urban b. Suburban c. Rural 2. Income 3. Household Size (number of people living in the household) 4. Years (the number of years that the customer has lived in the current location) 5. Credit Balance (the customer’s current credit card balance on the store's credit card) Individual Variables Five individual variables were provided for review: Location, Income, Household Size, Years, and Credit Balance. Below is a statistical analysis summarizing the key points referencing Location, Income and Credit Balance. Variable: Location The location of AJ Davis’ customers is distributed between three classes of urban, suburban and rural areas. Of the total number of customer locations in the sample set of 5; 13 are located in rural, 15 in suburban and 22 in urban locations. The pie chart shows that just less than half of all AJ Davis’ customers live in urban (44%) areas, yet customers that live in rural (26%) and suburban (30%) areas are relatively evenly distributed. The rural and suburban areas combine to compromise 56% of AJ Davis’ credit customer base in which they are interested in. This should be useful information to AJ Davis...
Words: 1841 - Pages: 8
...Evaluating the Research Process Evaluating the Research Process The author of “Violence in Teen Pregnancy” discusses the rising numbers of teens in America that have faced the most violence throughout a pregnancy than adults. AJ Davis has conducted a study which concerns the number of teens whom have faced or are facing some form of violence of violence during pregnancy to the number of adults facing the same types of violence. It was founded that violence during pregnancy is reported more often by teens than adults. The common form of abuse was reported to be by a non-partner or a female friend. Davis suggested that more teens try to follow the abstinence program, by saving themselves till marriage, to help prevent any type of situations if they were to become pregnant and also speak up to someone they can trust about the situation to seek help. Literature Review The literature review is an in-depth analysis of the data concerning the topic of violence amongst teen pregnancies. The article has been summarized and all information obtained will be well organized throughout the research. This literature review may or may not give new explanations of old information or also combined new and old explanations as well. The review can also be used to verify the research and provide more information based on the research topic. That being said, this literature review is used to introduce information concerning violence that may occur during a teen pregnancy more than...
Words: 1549 - Pages: 7
...Maurice S. Butler Math533—Applied Managerial Statistics Course Project: Part A Introduction This project is based upon statistical data compiled concerning AJ Davis Department Stores, specific to a sample of its customer base. It is with intent of establishing relationship between location, gross income, and credit balances carried by customers that the following statistical analysis has been performed. It is assumed that information obtained as well as the interpretation of statistical analysis will enable credible recommendations in regard to future revenues or continued handling and/or maintenance of its receivables. Variables The first variable is the gross income of the stores’ customers. The data set includes 50 customers with gross income ranging from $20,000 to $79,000 per year. Compilation of the data into a frequency/relative frequency table (see below) reveals that the greatest frequency and relative frequency of the store’s customers is found within the $30,000 to $49,000 range. Fifty-two percent of the store’s customer base gross income is found within this range. First and third quartiles have been calculated to be 33 and 57 respectfully. However, no outliers have been identified within the data set. Income ($1000) | Frequency | Relative Frequency | 20-29 | 5 | 10% | 30-39 | 13 | 26% | 40-49 | 13 | 26% | 50-59 | 8 | 16% | 60-69 | 9 | 18% | 70-79 | 2 | 4% | | 50 | 100% | My second variable is the outstanding credit balances of...
Words: 1184 - Pages: 5
...In: Business and Management Applied Managerial Statistics 12 Course Project AJ DAVIS DEPARTMENT STORES PROJECT PART A In this course project, my aim is to present the statistical analysis of the data for Aj Davis departmental store chain, which has many credit customers and wants to find out more information about these customers. In analyzing the individual variable, using graphical illustrations I would be using histogram, bar chart and a pie chart because there are useful when using numerical comparison. The 3 individual variables 1) The 1st individual variable, I choose is the credit balance of the customers. Credit Balance Numerical Summary: | Credit Balance($) | Mean | 3970 | Median | 4090 | Mode | 3890 | Standard Deviation | 932 | Skewness | -0.15 | Range | 3814 | Minimum | 1864 | Sum | 198523 | Maximum | 5678 | Interpretation The mean credit balance of the customers is given as $3970. The standard deviation is given approximately as 932. The credit balance of the customers is more or less normally distributed with the peak of the bell shaped distribution lying in the range 3814. 2) The 2nd individual variable, I choose is the household size. Thus the number of people living in the households. SIZE Frequency Distribution | Size | Frequency | 1 | 5 | 2 | 15 | 3 | 8 | 4 | 9 | 5 | 5 | 6 | 5 | 7 | 3 | Interpretation The mean of the household size is known as 3 approximately as...
Words: 327 - Pages: 2
...Managerial Statistics Course Project Part C: Regression and Correlation Analy Summary After statistical analysis of data collected on a random sample of AJ Davis’ customers, several inferences can be made. The goal of this analysis was to determine the best model for predicting customer income. This knowledge is paramount in most aspects of the company including but not limited to advertising, sales and merchandising. Based on the analysis, it is determined that a model using customer credit balance and household size is the most efficient. These variables gave the most reliable predictions of customer income. At the close of the analysis, the data yielded the following equation for determining customer income, income== - 1.90 + 0.0173 CREDIT BALANCE($) - 5.30 SIZE - 0.390 YEARS. Though, the number of years a customer has live in their home did not show high effectiveness in predicting income, it increased the overall fit of the model and has been included in the equation. We can be 95% confident in the data obtained through the use of this formula. Appendix 1. 2. Regression Analysis: INCOME($1000) versus CREDIT BALANCE($) The regression equation is INCOME($1000) = 4.45 + 0.00987 CREDIT BALANCE($) Predictor Coef SE Coef T P Constant 4.448 7.037 0.63 0.530 CREDIT BALANCE($) 0.009866 0.001728 5.71 0.000 S = 11.3247 R-Sq = 40.5% R-Sq(adj) = 39.2% Analysis of Variance Source DF ...
Words: 1189 - Pages: 5
...12 Course Project AJ DAVIS DEPARTMENT STORES PROJECT PART A In this course project, my aim is to present the statistical analysis of the data for Aj Davis departmental store chain, which has many credit customers and wants to find out more information about these customers. In analyzing the individual variable, using graphical illustrations I would be using histogram, bar chart and a pie chart because there are useful when using numerical comparison. The 3 individual variables 1) The 1st individual variable, I choose is the credit balance of the customers. Credit Balance Numerical Summary: | Credit Balance($) | Mean | 3970 | Median | 4090 | Mode | 3890 | Standard Deviation | 932 | Skewness | -0.15 | Range | 3814 | Minimum | 1864 | Sum | 198523 | Maximum | 5678 | Interpretation The mean credit balance of the customers is given as $3970. The standard deviation is given approximately as 932. The credit balance of the customers is more or less normally distributed with the peak of the bell shaped distribution lying in the range 3814. 2) The 2nd individual variable, I choose is the household size. Thus the number of people living in the households. SIZE Frequency Distribution | Size | Frequency | 1 | 5 | 2 | 15 | 3 | 8 | 4 | 9 | 5 | 5 | 6 | 5 | 7 | 3 | Interpretation The mean of the household size is known as 3 approximately as seen on Minitab. The median of the household size 3 and the mode would be 2. As...
Words: 5609 - Pages: 23
...Abstract E-Wallet had been receiving enormous attention globally due to its high innovativeness as a secondary option to leather wallet. Usage of credit cards, cash or checks had been reduced due to the advancement of technology and emergence of e-Wallet. E-Wallet is an easy-to-use, convenient electronic prototype which acts as a secure global payment system by using only a mobile smartphone. This study is directed towards developing a model to explain the consumer's’ intention to adopt e-Wallet in the social context. It adopts Consumer Need for Uniqueness Theory based on the concept of Counter-Conformity Motivation (CCM) also known as Need For Uniqueness. Many researchers had explored the relationship of consumer’s intention to adopt on the technological usage context. However, little research in social context had been carried out. Therefore, this paper aims to examine the factors affecting the consumer adoption intention in social context. This paper found that CCM, self-identity and word-of-mouth (WOM) are the salient determinants in this study of knowledge of consumer adoption intention in e-Wallet. Keywords: e-Wallet, intention to adopt, counter-conformity motivation, need for uniqueness 1.0 Introduction According to the historical evidence, the first use of money is assumed to have started around 600 BC in term of coins (Davies and Davies, 2002). However, the world is evolving, due to the rapid change in technology. Most of the consumers have changed their...
Words: 5991 - Pages: 24
...ORIGINAL REPORTS: CANCER INTEREST, AWARENESS, AND PERCEPTIONS OF GENETIC TESTING AMONG HISPANIC FAMILY MEMBERS OF BREAST CANCER SURVIVORS Objective: To provide a preliminary description of the interest, awareness, and perceptions of genetic testing among Hispanics with a family history of breast cancer Design: This cross-sectional pilot study used interpersonal structured interviews for data collection. Participants: We interviewed 48 Hispanics without breast cancer but who had a family member with breast cancer; participants lived in San Antonio and the surrounding area. Main Outcome: The outcomes were interest in breast cancer genetic testing, awareness about genetic testing, perceived risk of carrying a breast cancer susceptibility gene, and the perceived benefits and risks associated with a genetic test. Measures: Items previously used in research regarding interest and perceived genetic risk and a previously validated benefits and riskslimitations scale for genetic testing commonly used by other researchers were used to measure the outcomes. Results: Awareness of genetic testing for breast cancer susceptibility was very low, yet most (82%) participants were interested in a genetic test for breast cancer susceptibility. Participants were more likely to identify with the benefits than the potential risks of genetic testing. The most highly endorsed benefits were to know to take better care of one’s self and to undergo more frequent screening. Conclusions: Hispanics seem to...
Words: 4990 - Pages: 20
...Epidemiology/Health Services/Psychosocial Research O R I G I N A L A R T I C L E Out-of-Pocket Costs and Diabetes Preventive Services The Translating Research Into Action for Diabetes (TRIAD) study ANDREW J. KARTER, PHD1 MARK R. STEVENS, MSPH, MA2 WILLIAM H. HERMAN, MD, MPH3 SUSAN ETTNER, PHD4 DAVID G. MARRERO, PHD5 MONIKA M. SAFFORD, MD6 MICHAEL M. ENGELGAU, MD, MS2 J. DAVID CURB, MD, MPH7 ARLEEN F. BROWN, MD, PHD4 THE TRIAD STUDY GROUP* OBJECTIVE — Despite the increased shifting of health care costs to consumers, little is known about the impact of financial barriers on health care utilization. This study investigated the effect of out-of-pocket expenditures on the utilization of recommended diabetes preventive services. RESEARCH DESIGN AND METHODS — This was a survey-based observational study (2000 –2001) in 10 managed care health plans and 68 provider groups across the U.S. serving ϳ180,000 patients with diabetes. From 11,922 diabetic survey respondents, we studied the occurrence of self-reported annual dilated eye exams and diabetes health education and among insulin users, daily self-monitoring of blood glucose (SMBG). Conditional probabilities were estimated for outcomes at each level of self-reported out-of-pocket expenditure by using hierarchical logistic regression models with random intercepts. RESULTS — Conditional probabilities of utilization (95% CI) varied by expenditure for dilated eye exam [no cost 78% (75– 82), copay 79% (75–...
Words: 4846 - Pages: 20
...NIH Public Access Author Manuscript Aging Ment Health. Author manuscript; available in PMC 2008 February 19. NIH-PA Author Manuscript Published in final edited form as: Aging Ment Health. 2005 March ; 9(2): 105–118. Family Involvement in Residential Long-Term Care: A Synthesis and Critical Review* Joseph E. Gaugler The University of Kentucky Abstract The objective of this review is to critically synthesize the existing literature on family involvement in residential long-term care. Studies that examined family involvement in various long-term care venues were identified through extensive searches of the literature. Future research and practice must consider the complexity of family structure, adopt longitudinal designs, provide direct empirical links between family involvement and resident outcomes, and offer rigorous evaluation of interventions in order to refine the literature. NIH-PA Author Manuscript Keywords Family Involvement; Nursing Homes; Assisted Living Facilities; Family Care Homes; Family Caregiving; Informal Care NIH-PA Author Manuscript Over the past several decades, various research studies have demonstrated that family members remain involved in the lives of their loved ones following placement in residential long-term care facilities (e.g., Bowers, 1988; Maas et al., 2000; Rowles & High, 1996; Smith & Bengston, 1979; York & Calsyn, 1977; Zarit & Whitlatch, 1992, to name a few). These collective findings have helped debunk...
Words: 12566 - Pages: 51
...Equity Research and Promotion, Philadelphia Veterans Affairs Medical Center, Philadelphia, Pennsylvania (Bachhuber); Robert Wood Johnson Foundation Clinical Scholars Program, University of Pennsylvania, Philadelphia (Bachhuber); Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia (Bachhuber, Saloner, Barry); Robert Wood Johnson Health and Society Scholars Program, University of Pennsylvania, Philadelphia (Saloner); Division of General Internal Medicine, Montefiore Medical Center/Albert Einstein College of Medicine, Bronx, New York (Cunningham); Department of Health Policy and Management, the Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland (Barry) Abstract Author Manuscript IMPORTANCE—Opioid analgesic overdose mortality continues to rise in the United States, driven by increases in prescribing for chronic pain. Because chronic pain is a major indication for medical cannabis, laws that establish access to medical cannabis may change overdose mortality related to opioid analgesics in states that have enacted them. OBJECTIVE—To determine the association between the presence of state medical cannabis laws and opioid analgesic overdose mortality. DESIGN, SETTING, AND PARTICIPANTS—A time-series analysis was conducted of medical cannabis laws and state-level death certificate data in the United States from 1999 to 2010; all 50 states...
Words: 5146 - Pages: 21
...|Values |14 | |Vision Statement |15 | |Mission Statement |16 | |Aspiration Statement |18 | |Situation Analysis |19 | |Competitive Analysis |20 | |Current Market Need |22 | |SWOT Analysis |23 | |4 P’S of Levi Strauss |26...
Words: 11990 - Pages: 48
