Acct 505 Course Project
Valerie Simmons
Math533
Dr. Mark Beintema
July 22, 2012
Course Project PART A
The report below represents 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 is LOCATION which is a categorical variable. The three subcategories are Urban, Suburban and Rural. Since Location is a categorical variable, the measures of central tendency have not been calculated for this variable. The frequency distribution and pie chart are given as follows: Frequency Distribution: | Location | Frequency | Urban | 21 | Suburban | 15 | Rural | 14 |
From the frequency distribution and pie chart, it is clear that the highest number of customers live in the rural area (42%), followed by customers who live in the suburban category (30%). There are only 28% of the customers living in the urban area.
The 2nd individual variable is SIZE which is considered is a quantitative variable. The measures of central tendency and variation are calculated for this variable below: 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 median of the data is 3 and the mode is 2. The household size mean is 3.42. The standard deviation is 1.74 and the maximum number of customers has a household size of 2 which is shown in the bar graph and the frequency distribution table.
The 3rd individual variable considered is CREDIT BALANCE which is also a quantitative variable. The measures of central tendency and variation have also been calculated as follows: Descriptive Statistics: | Credit Balance($) | Mean |
Math533
Dr. Mark Beintema
July 22, 2012
Course Project PART A
The report below represents the detailed statistical analysis of the data collected from a sample of credit customers in the department chain store AJ DAVIS.
The 1st individual variable is LOCATION which is a categorical variable. The three subcategories are Urban, Suburban and Rural. Since Location is a categorical variable, the measures of central tendency have not been calculated for this variable. The frequency distribution and pie chart are given as follows: Frequency Distribution: | Location | Frequency | Urban | 21 | Suburban | 15 | Rural | 14 |
From the frequency distribution and pie chart, it is clear that the highest number of customers live in the rural area (42%), followed by customers who live in the suburban category (30%). There are only 28% of the customers living in the urban area.
The 2nd individual variable is SIZE which is considered is a quantitative variable. The measures of central tendency and variation are calculated for this variable below: Statistics: | Size | Mean | 3.42 | Standard Error | 0.24593014 | Median | 3 | Mode | 2 | Standard Deviation | 1.73898868 | Sample Variance | 3.02408163 | Kurtosis | -0.7228086 | Skewness | 0.52789598 | Range | 6 | Minimum | 1 | Maximum | 7 | Sum | 171 | Count | 50 |
Frequency Distribution: | Size | Frequency | 1 | 5 | 2 | 15 | 3 | 8 | 4 | 9 | 5 | 5 | 6 | 5 | 7 | 3 |
The median of the data is 3 and the mode is 2. The household size mean is 3.42. The standard deviation is 1.74 and the maximum number of customers has a household size of 2 which is shown in the bar graph and the frequency distribution table.
The 3rd individual variable considered is CREDIT BALANCE which is also a quantitative variable. The measures of central tendency and variation have also been calculated as follows: Descriptive Statistics: | Credit Balance($) | Mean |