STATS_KS_TEST
is a KolmogorovSmirnov function that compares two samples to test whether they are from the same population or from populations that have the same distribution. It does not assume that the population from which the samples were taken is normally distributed.
This function takes two required arguments: expr1
classifies the data into the two samples and expr2
contains the values for each of the samples. If expr1
classifies the data into only one sample or into more than two samples, then an error is raised. The optional third argument lets you specify the meaning of the NUMBER
value returned by this function, as shown in Table 76. For this argument, you can specify a text literal, or a bind variable or expression that evaluates to a constant character value. If you omit the third argument, then the default is 'SIG'
.
Table 76 STATS_KS_TEST Return Values
Argument  Return Value Meaning 


Observed value of D 

Significance of D 
STATS_KS_TEST Example Using the Kolmogorov Smirnov test, the following example determines whether the distribution of sales between men and women is due to chance:
SELECT stats_ks_test(cust_gender, amount_sold, 'STATISTIC') ks_statistic, stats_ks_test(cust_gender, amount_sold) p_value FROM sh.customers c, sh.sales s WHERE c.cust_id = s.cust_id; KS_STATISTIC P_VALUE   .003841396 .004080006