Basic Statistics for Numeric Variables
Numeric variables can be subjected to analysis that cannot be applied to character variables. Most notably, it is possible to compare the mean value of numeric variables for defaulters and non- defaulters. If there is a relationship between a numeric variable and default, then one would expect to see significant differences in the mean values of the variable for defaulters and non- defaulters. For example, the following two tables show that borrowers who did not default took an average of 104 hours while attending Texas A&M, whereas borrowers who defaulted attended for an average of 79 hours. Comparing means for defaulters and non-defaulters is merely another way of viewing the results presented in the main body of this report. In addition to the mean, the following tables will present the number of observations that have non-missing values for a variable, the number of records that have missing values for a variable, the standard deviation, the minimum value for a variable and the maximum value.