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What is Chi-Square Test Overview and Applications about?
The document defines and explains the chi-square test. The chi-square test is a nonparametric test used to analyze categorical data by comparing observed frequencies to expected frequencies. It can be used to test independence between two variables or whether an observed distribution matches an expected theoretical distribution. The chi-square value is computed by summing the squared differences between observed and expected frequencies divided by the expected frequencies. The test assumes that no expected
- Author
- Dharshu Rajkumar
- Language
- EN