If the assumption of expected frequencies is not met for a 2 × 2 chi-square test, which of the following remedies could you consider using?
A)Add a constant to each cell in the table
B)Conduct a Pearson's correlation coefficient
C)Fisher's exact probability test
D)Square each of the cells in the table

Question

Quizplus · Accepted Answer

If the assumption of expected frequencies is not met for a 2x2 chi-square test, Fisher's exact probability test should be used as it does not rely on the assumption of expected frequencies. Adding a constant to each cell in the table or squaring each of the cells in the table would not address the issue of expected frequencies. Pearson's correlation coefficient is used to measure the strength and direction of a linear relationship between two continuous variables, which is not relevant to this scenario.

If the Assumption of Expected Frequencies Is Not Met for a 2