The following report presents the detailed statistical analysis of the data collected from a sample of credit customers in the department chain store AJ DAVIS. The 1st individual variable considered is Location. It is a qualitative variable. The three subcategories are Urban, Suburban and Rural. Since this is a qualitative variable, the measures of central tendency and descriptive statistics has not been computed for this variable. The frequency distribution and pie chart are given as follows: Frequency Distribution:|

From the frequency distribution and pie chart, it is clearly stated that the maximum number of customers belongs to the rural category (42%),consequently by those in the suburban category (30%). Only 28% of the customers belong to the urban category.

The 2nd individual variable considered is Size. It is a quantitative variable. The measures of central tendency, variation and other descriptive statistics have been intended for this variable and are given as follows: Descriptive Statistics:|

The mean household size of the customers averages 3.42. The median of the data is 3 and the mode is 2. The standard deviation is given approximately as 1.74. Maximum number of customers has a household size of 2 as is states from the frequency distribution and the bar graph.

The 3rd individual variable considered is Credit Balance. It is a quantitative variable. The methods of central tendency, variation and other descriptive statistics have been analyzed for this variable and...

...
Course Project Part A
September 15, 2013
Applied Managerial Statistics
Professor Mayers
Brief Introduction
The following report presents a detailed statistical analysis of AJDavis Department Store credit customers. Data was collected from a sample of 50 AJDavis credit customers on five variables which are Location, Size, Income, Years, and Credit Balance. Out of the five variables, Location,Size, and...

...AJDavis Department Store
Project Part B: Hypothesis Testing and Confidence Intervals
A. The average (mean) annual income was less than $50,000
• Null Hypothesis is the average annual income is ≥ to $50,000.
o Ho: µ ≥ 50,000
• Alternate Hypothesis is the average annual income is < than $50,000.
o Ha: µ < 50,000
• Analysis Plan significance level is: a = 0.05
• n > 30 the z test was used to test...

...The following report presents a detailed statistical analysis of AJDAVIS department store customers. Data was collected from a sample of 50 AJDAVIS credit customers for the purpose of learning more about the customers of AJDAVIS.
The first variable considered is Location, a categorical variable. The three subcategories are Urban, Suburban and Rural. The frequency distribution and pie chart are included....

...INTRODUCTION
Base on the data collected in the previous samples, the manager has made an alternative hypothesis on the following:
A) The average (mean) annual income was less than $50,000
B) The true population proportion of customers who live in an urban area exceed 40%
C) The avarage (mean) number of years lived in the current home is less than 13 years D) The avarage (mean) credit balance for suburban costumers is more than $4,300
Using the sample data, we will perform...

...Problem N°1
1.Formulate the null and alternative hypotheses.
Null Hypothesis: The average (mean) annual income was greater than or equal to $50,000
H_0: μ≥50000
Alternate Hypothesis: The average (mean) annual income was less than $50,000.
H_a: μ 30 we will use the z-test.
As Ha:μ0.40 the, test is a right tailed z-test.
The critical value for significance level, α=0.05 for a right tailed z-test is given in the table as: 1.645.
Decision Rule: Reject H_0,if z>1.645
3. Calculate the...

...AJDavis Department Store Part B
AJDavis Department Store
Introduction
The following information will show whether or not the manager’s speculations are correct. He wants to know the following information: Is the average mean greater than $45,000? Does the true population proportion of customers who live in an urban area exceed 45%? Is the average number of years lived in the current home less than 8 years? Is the...

...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, AJDAVIS 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...

...
Course Project: AJDavis Department Stores
Natasha Unaphum
MATH533: Applied Managerial Statistics
September 10th, 2014
Professor Rolston
Introduction:
AJDavis is a department store chain, they are trying to get to know more about their clientele and to further expand their business. A sample of 50 credit customers are selected for this research, information that includes, location...

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