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Chi-Square Test for Independence Explained by Roan Suanque Martir is a document available to read on EtoBox.
1) The chi-square test is used to compare observed data to expected data and determine if differences are statistically significant. It assumes data is random, raw, mutually exclusive, from independent variables, and from a large enough sample. 2) A chi-square test of independence determines if there is a relationship between two categorical variables by comparing the frequencies between categories. 3) In an example, a chi-square test found no significant relationship between gender and education level, a
- Author
- Roan Suanque Martir
- Language
- EN