• Fisher’s exact test is an exact test for testing a hypothesis involving a 2×2 table.
• The test can also be used to test a gene-phenotype or gene-gene association, provided all three objects in question are categorical (i.e., of two or more categories).
• The test can be applied to any object that can be classified into two or more groups.
• Application areas include genotyping arrays, tables containing the genetic/phenotypic information of objects (i.e., microarrays, genomic study, etc.), and tables that classify objects in a series of binary events.
• The test works with two-way tables that list the frequency of a pair of values within a population.
• The objective of the test is to examine the association between two kinds of binary classification.
• The test calculates the significance of the difference in frequency of the object values (binomially) in the table, compared with the hypothetical case where the two sets of objects are randomly associated.
• The test results are reported as a statistical significance p-value.
Note: Description not verified by author. Do not blindly copy/paste.
How to use Keymacro
To run Keymacro
- open the spreadsheet you want to run the Keymacro on
- select the 2×2 matrix to be the top cell, then press “F1”, or use the keyboard shortcut
- choose “Fisher’s exact test”
- choose “2×2 tables”
- type in the value of the columns and rows in the matrix
- press OK
Use the keyboard shortcut again to return to the matrix
- press “F2” to return to the matrix,
- enter in the values of the columns and rows, and click on the OK button.
Description:
Like the Chi-Squared test, Fisher’s Exact Test is also used to test the association between two variables of any kind (categorical or continuous). It is also used to analyze tables containing information of two types (genetic or phenotypic).
Fisher’s Exact Test is a statistical significance test used in the analysis of contingency tables where sample sizes are small. It is named after its inventor, R. A. Fisher, and is one of a class of exact tests, so called because the significance of the deviation from a null 70238732e0 taldsafe
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