Chi-Squared Test
The chi-squared (χ2) test is a statistical test used to decide whether the difference between observed (O) and expected (E) results is significant, or small enough to be due to chance. It is used with categorical data (counts in categories), such as numbers of offspring with each phenotype.
Start with a null hypothesis: there is no significant difference between the observed and expected results, and any difference is due to chance.
Then calculate:
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Key terms in this lesson
- critical value
- The value of a test statistic, such as chi-squared, that must be reached or exceeded for a difference to be significant.
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