Final answer:
In a chi-square test for determining expected frequencies, a cell refers to a specific category or combination of variables that are being analyzed. Each cell represents a unique combination of variables and contains the observed and expected frequencies for that combination.
Step-by-step explanation:
In a chi-square test for determining expected frequencies, a cell refers to a specific category or combination of variables that are being analyzed. Each cell represents a unique combination of variables and contains the observed and expected frequencies for that combination.
For example, in a chi-square test of independence, if you are comparing two factors (such as gender and voting preference), each cell represents a unique combination of gender and voting preference (e.g., male and Democrat, female and Republican). The expected frequency in each cell is calculated based on the null hypothesis assumption of independence.
It is important to note that the expected frequency in each cell should be at least five for the chi-square test to be valid.