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:

From the frequency distribution and pie chart, it is display the maximum number of customers belongs to the rural category (42%), suburban category (30%) and 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 calculated for this variable are below:

...CoefVar Sum Squares Minimum Q1 Median Q3 Maximum Range IQR
Size 56.12 225.000 1325.000 1.000 2.000 4.500 7.000 8.000 7.000 5.000
N for
Variable Mode Mode Skewness Kurtosis MSSD
Size 1, 8 8 0.00 -1.49 2.969
The P-value of the Size using the Anderson-Darling Normality Test is .005 and the A-Squared is 1.59. With the 95% Confidence Interval for Mean, Median, and St Dev are as described above....

...Location, Income, and Credit Balance for the customers of AJ Davis Department Store
Math533
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,...

...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 Frequency
1 5
2 15
3 8
4 9
5 5
6 5
7 3
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...

...for many doctors and researchers. BMI is calculated using a mathematical formula that accounts for a person’s height and weight. BMI is equal to a person’s weight in kilograms (kg) divided by height in meters squared (BMI=).
Aim
The aim of this project work is to investigate the relationship between height, weight and BMI with students’ health condition. The purpose of this campaign is to create awareness among students about obesity or underweight related to health problems....

...
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 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...

...Math533Project 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 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...

...Lacsap’s Fractions
IB Math SL
SL Type 1
December 11, 2012
Lacsap’s Fractions:
Lacsap is Pascal backwards and the way that Lacsap’s fractions are presented is fairly similar to Pascal’s triangle. Thus, various aspects of Pascal’s triangle can be applied in Lacsap’s fraction.
To determine the numerators:
To determine the numerator (n), consider it in relation to the number of the row (r) that it is a part of.
Consider the five rows...