Aj Davis Course Project Parts a and B
The following report presents a detailed statistical analysis of AJ DAVIS department store customers. Data was collected from a sample of 50 AJ DAVIS credit customers for the purpose of learning more about the customers of AJ DAVIS.
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. Measures of central tendency and descriptive statistics are not calculated due to the categorical nature of the variable.
Frequency Distribution: LOCATION | FREQUENCY | Urban | 22 | Suburban | 15 | Rural | 13 |
The largest number of customers belong to the Urban Location category (44%), followed by those in the Suburban Location category (30%). The least number of customers belong in the Rural Location category (26%).
The next individual variable considered is Household Size, meaning the number of people living in the household. Size is a quantitative variable. The measures of central tendency and variation along with other descriptive statistics have been calculated for this variable.
Descriptive Statistics: AJ DAVIS Customer Data - Household Size
Total
Variable Count N N* CumN Percent CumPct Mean SE Mean TrMean StDev
C1 50 50 0 50 100 100 3.420 0.246 3.341 1.739
Sum of
Variable Variance CoefVar Sum Squares Minimum Q1 Median Q3
C1 3.024 50.85 171.000 733.000 1.000 2.000 3.000 5.000
N for
Variable Maximum Range IQR Mode Mode Skewness Kurtosis MSSD
C1 7.000 6.000 3.000 2 15 0.53 -0.72 3.214
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 found to be 3.42. The median of the data is 3 and the
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. Measures of central tendency and descriptive statistics are not calculated due to the categorical nature of the variable.
Frequency Distribution: LOCATION | FREQUENCY | Urban | 22 | Suburban | 15 | Rural | 13 |
The largest number of customers belong to the Urban Location category (44%), followed by those in the Suburban Location category (30%). The least number of customers belong in the Rural Location category (26%).
The next individual variable considered is Household Size, meaning the number of people living in the household. Size is a quantitative variable. The measures of central tendency and variation along with other descriptive statistics have been calculated for this variable.
Descriptive Statistics: AJ DAVIS Customer Data - Household Size
Total
Variable Count N N* CumN Percent CumPct Mean SE Mean TrMean StDev
C1 50 50 0 50 100 100 3.420 0.246 3.341 1.739
Sum of
Variable Variance CoefVar Sum Squares Minimum Q1 Median Q3
C1 3.024 50.85 171.000 733.000 1.000 2.000 3.000 5.000
N for
Variable Maximum Range IQR Mode Mode Skewness Kurtosis MSSD
C1 7.000 6.000 3.000 2 15 0.53 -0.72 3.214
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 found to be 3.42. The median of the data is 3 and the