First chart up is the variable location. Three categories are listed in the charts. Frequency Distribution:
LocationFrequency
Urban21
Suburban15
Rural14

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
Mean3.42
Standard Error0.24593014
Median3
Mode2
Standard Deviation1.73898868
Sample Variance3.02408163
Kurtosis-0.7228086
Skewness0.52789598
Range6
Minimum1
Maximum7
Sum171
Count50

Frequency Distribution:
SizeFrequency
15
215
38
49
55
65
73

The mean household size of the customers is given as 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 evident from the frequency distribution and the bar graph.

The Third chart is over credit Balance.

Descriptive Statistics:
Credit Balance($)
Mean3964.06
Standard Error132.0159991
Median4090
Mode3890
Standard Deviation933.4940816
Sample Variance871411.2004
Kurtosis-0.741830067
Skewness-0.129506489
Range3814
Minimum1864
Maximum5678
Sum198203
Count50

The mean credit balance of the customers is given as $3964.06. The standard deviation is 933.49. The credit balance of the customers is more of the bell shaped distribution lying in the range $4000 - $4500. This is where your most customers with a credit balance will lie. At the top of the peak.

The relationship between the variables Income and Size
There is no definite relationship or association between the two...

...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 Rural. Category variable, the measures of central tendency and descriptive statistics has not been calculated for this variable. The frequency distribution and pie chart are below:
|Frequency...

...
Course ProjectPart 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 family. The larger families have the financial needs to have a larger credit balance.
2. Determine the equation of the "best fit" line, which describes the...

...Gm533 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...

...Math 533ProjectPart 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 average (mean) number of years lived in the current home is less than 13 years,
the average (mean) credit balance for suburban customers is more than...

...
PROJECTPART 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...

...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...

...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...

...AJ DAVIS
AJ DAVIS
MATH 533Project Consumer
Tel – 123-456-7891
July 21st 2013
MATH 533Project 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...