Does the Fisherʼs exact probability test give a p-value?

The Fisher’s exact probability test is a statistical test used to determine if there is a significant association between two categorical variables. Although it is commonly used in a variety of research fields, it is important to note that the Fisher’s exact test does indeed provide a p-value.

The p-value obtained from the Fisher’s exact test represents the probability of obtaining results as extreme as the observed results, assuming that the null hypothesis is true. Therefore, a small p-value suggests that there is a significant association between the variables being studied.

FAQs about the Fisher’s exact probability test:

1. What is the purpose of the Fisher’s exact probability test?

The Fisher’s exact test is used to determine if there is a significant association between two categorical variables.

2. How does the Fisher’s exact test differ from the chi-squared test?

The Fisher’s exact test is used when sample sizes are small or when the assumptions of the chi-squared test are not met.

3. When should I use the Fisher’s exact test?

The Fisher’s exact test is typically used when working with small sample sizes or when the expected cell frequencies are less than 5.

4. Can the Fisher’s exact test be used for more than two categorical variables?

No, the Fisher’s exact test is designed to analyze the association between two categorical variables.

5. How do I interpret the p-value obtained from the Fisher’s exact test?

A small p-value suggests that there is a significant association between the variables being studied.

6. What is the null hypothesis in a Fisher’s exact test?

The null hypothesis states that there is no association between the two categorical variables being studied.

7. What does it mean if the p-value is greater than 0.05 in a Fisher’s exact test?

If the p-value is greater than 0.05, we fail to reject the null hypothesis, indicating that there is no significant association between the variables.

8. Can the Fisher’s exact test be used for continuous variables?

No, the Fisher’s exact test is specifically designed for categorical variables.

9. How do I perform a Fisher’s exact test?

To perform a Fisher’s exact test, you need to create a contingency table of the observed frequencies and then calculate the p-value using statistical software.

10. What are the limitations of the Fisher’s exact test?

The Fisher’s exact test may be computationally intensive for large sample sizes and may not be as powerful as other statistical tests in certain situations.

11. Can the Fisher’s exact test be applied to observational studies?

Yes, the Fisher’s exact test can be used in observational studies to analyze the association between categorical variables.

12. How can I determine the strength of association between variables using the Fisher’s exact test?

In addition to the p-value, you can also calculate measures of association such as odds ratios to determine the strength of the relationship between the variables being studied.

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