# Gm 533 Project Part a

Topics: Standard deviation, Skewness, Mean Pages: 3 (481 words) Published: December 15, 2012
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

Relative Frequency Distribution:
Credit Balance (\$)FrequencyRelative Frequency
1500 - 200010.02
2000 - 250020.04
2500 - 300060.12
3000 - 350060.12
3500 - 400080.16
4000 - 4500120.24
4500 - 500070.14
5000 - 550060.12
5500 - 600020.04

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...