# Statistics > Multinomial > Chi-Square Contingency Table

A contingency table contains frequencies corresponding to two variables, one used to categorize rows and another used to categorize columns. A test of independence tests whether the row and column variables in a contingency table are independent. The null hypothesis of such a test is that the row and column are independent. The test statistic for a test of independence in a contingency table is

where the expected frequency of a cell in the contingency table is (row total)(column total)/(grand total). The Chi-Square distribution is used, and the degrees of freedom is given by (number of rows - 1)(number of columns - 1).

When using this utility, you must provide the observed frequencies and the confidence level of the test.

### Dialog Inputs

#### Contingency Table

- The columns of a contingency table should be placed in separate columns in the Datasheet. All the columns in a contingency table must have the same number of rows.
- To specify a column of a contingency table, select the column in the Select a column of the table: list, and click the Add to list button. The columns will be added to the Columns: list. To remove a column that has been added to the list, select the column in the list and click the Remove from list button. Click Clear Input List to clear the input columns list.

#### Significance Level

Enter the significance level in the given text box. The significance level must be between 0 and 1.