STATS_CROSSTAB
Syntax
Purpose
Crosstabulation (commonly called crosstab) is a method used to analyze two nominal variables. The STATS_CROSSTAB function takes two required arguments: expr1 and expr2 are the two variables being analyzed. The optional third argument lets you specify the meaning of the NUMBER value returned by this function, as shown in Table 7-4. 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 'CHISQ_SIG'.
                  
See Also:
Appendix C in Oracle Database Globalization Support Guide for the collation determination rules for STATS_CROSSTAB 
                     
Table 7-4 STATS_CROSSTAB Return Values
| Argument | Return Value Meaning | 
|---|---|
| 
 | Observed value of chi-squared | 
| 
 | Significance of observed chi-squared | 
| 
 | Degree of freedom for chi-squared | 
| 
 | Phi coefficient | 
| 
 | Cramer's V statistic | 
| 
 | Contingency coefficient | 
| 
 | Cohen's kappa | 
STATS_CROSSTAB Example
The following example determines the strength of the association between gender and income level:
SELECT STATS_CROSSTAB
         (cust_gender, cust_income_level, 'CHISQ_OBS') chi_squared,
       STATS_CROSSTAB
         (cust_gender, cust_income_level, 'CHISQ_SIG') p_value,
       STATS_CROSSTAB
         (cust_gender, cust_income_level, 'PHI_COEFFICIENT') phi_coefficient
  FROM sh.customers;
CHI_SQUARED    P_VALUE PHI_COEFFICIENT
----------- ---------- ---------------
 251.690705 1.2364E-47      .067367056