Gm533 Aj Davis Part a
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: | Location | Frequency | Urban | 21 | Suburban | 15 | Rural | 14 |
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: | 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 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
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: | Location | Frequency | Urban | 21 | Suburban | 15 | Rural | 14 |
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: | 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 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