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# Contingency Tables (Chi-square)

Select menu: Stats | Statistical Tests | Contingency Tables (Chi-square)

Watch our video on performing a chi-square test.

This performs statistical tests on contingency tables.

Stats | Statistical Tests | Contingency Tables (Chi-square).
2. Fill in the fields as required then click Run.

You can set additional Options then after running, you can save the results by clicking Save. ## Available data

This lists data structures appropriate to the current input field. The contents will change as you move from one field to the next. Double-click on a name to copy it into the input field, or type the name in directly.

## Chi-square test

You can calculate the chi-square test of association between the factors classifying the rows and the columns of a two-way tables of counts.

## Method

You can choose between two ways of calculating the test: Pearson uses the familiar method; the alternative, which may be more accurate, is to use Maximum likelihood.

## Data arrangement

For a chi-square test you can enter the data in one of three ways.

 Table Create a two-way table containing the counts. Click Create table then create a table from existing data, or type the values into a new spreadsheet. Row and column factors You can supply 2 factors; one containing rows and one containing columns. Genstat will automatically create a two-way table of frequency counts and this will be used in the test. Single variate with grouping factors Enter the counts in a variate along with classifying factors for the rows and columns. This is the same layout as you would use in a log-linear analysis. Genstat automatically forms a two-way table from these data structures and performs a chi-square test on the table.

## Fisher’s exact test

This menu performs Fisher’s exact test of association between the factors classifying a 2×2 table of counts. It provides the one-tailed significance level from the exact test, together with the mid-p value, which includes only half the probability of the observed data table.

Two methods are used to calculate a two-tailed significance level. The first simply doubles the one-tailed significance level: the second method calculates the cumulative probability of all outcomes that are no more probable than the observed table. Mid-p values are produced for each of these methods.

## Table (for Fisher’s exact test)

Specifies the two-way, 2×2 table containing the counts. Create a two-way table containing the counts. Click Create table then create a table from existing data, or type the values into a new spreadsheet.

An alternative method to enter data for a Fisher’s exact test is to type the four values from the 2×2 table into the Table field on the previous dialog, separating them by commas. For example: 4,6,7,6 