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MATH 533 Course Project Data AJ DAVIS

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MATH 533 Course Project Data AJ DAVIS
A. Brief Introduction
There are 50 credit customers who were selected for the data collection on five variables such as location, income, size, years, and credit balance. In order to understand more about their customer, AJ DAVIS must use graphical, numerical summary to be able to interpret and better expand their business in the future.
B. Discuss your 1st individual variable, using graphical, numerical summary and interpretation

A histogram shows the distribution of data within the Income. In this Histogram graph of Income, it shows that the graph is not symmetrical. This histogram graph has a wider bell shape form. The graph shows that this graph is more like two graph because there is a clear difference between income generating from 20-40 and from 50-above. There are two separated cluster; therefore, the skewness of this graph is skewed right. Income has a lower value of kurtosis which indicates a lower, less distinct peak. The following table shows the numerical summary of Income:

Total
Variable Count N N* CumN Percent CumPct Mean SE Mean TrMean StDev
Income ($1,000) 50 50 0 50 100 100 46.02 1.96 45.70 13.88

Sum of
Variable Variance CoefVar Sum Squares Minimum Q1 Median Q3
Income ($1,000) 192.75 30.17 2301.00 115337.00 25.00 33.00 44.50 57.25

N for
Variable Maximum Range IQR Mode Mode Skewness Kurtosis MSSD
Income ($1,000) 74.00 49.00 24.25 30, 33, 54, 57 3 0.26 -1.09 65.57

The P-value of the Income using the Anderson-Darling Normality Test is 0.027 and the A-Squared is 0.85. With the 95% Confidence Interval for Mean, Median, and St Dev are described.
C. Discuss your 2nd individual variable, using graphical, numerical summary and interpretation

A histogram shows the distribution of data

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