The Chi-Square Test
Author(s): Lou Gross1, Monica Beals1, Susan Harrell1
University of Tennessee Knoxville
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Description
Student Introduction: The chi-square test is a statistical test that can be used to determine whether observed frequencies are significantly different from expected frequencies. For example, after we calculated expected frequencies for different allozymes in the HARDY-WEINBERG module we would use a chi-square test to compare the observed and expected frequencies and determine whether there is a statistically significant difference between the two. As in other statistical tests, we begin by stating a null hypothesis (H0: there is no significant difference between observed and expected frequencies) and an alternative hypothesis (H1: there is a significant difference). Based on the outcome of the chi-square test we will either reject or fail to reject the null hypothesis.
Cite this work
Researchers should cite this work as follows:
- Gross, L., Beals, M., Harrell, S. (2019). The Chi-Square Test. Quantitative Biology at Community Colleges, QUBES Educational Resources. doi:10.25334/Q4SB2P