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Update Understanding Statistical Tests authored by Zeyuan Meng's avatar Zeyuan Meng
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Understanding-Statistical-Tests.md
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...@@ -8,8 +8,8 @@ In statistics, there are two main types of tests: parametric tests and non-param ...@@ -8,8 +8,8 @@ In statistics, there are two main types of tests: parametric tests and non-param
### Parametric Tests ### Parametric Tests
1. **T-Test**: Used to compare means between two groups. It assumes that the data follows a normal distribution and the variances are equal. 1. **T-Test**: Used to compare means between two groups. It assumes that the data follows a normal distribution and the variances are equal.
Analysis of Variance (ANOVA): Used to compare means between three or more groups. It also assumes normality and equal variances. 2. **Analysis of Variance (ANOVA)**: Used to compare means between three or more groups. It also assumes normality and equal variances.
Regression Analysis: Examines the relationship between a dependent variable and one or more independent variables. It estimates the impact of independent variables on the dependent variable. 3. **Regression Analysis**: Examines the relationship between a dependent variable and one or more independent variables. It estimates the impact of independent variables on the dependent variable.
### Non-Parametric Tests ### Non-Parametric Tests
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