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University of Michigan - Ann Arbor

Parametric statistics methods are applied to populations with other known distribution types. Parametric methods are often those for which we know that the population is approximately normal, or we can approximate using a normal distribution after we invoke the central limit theorem. Well-known statistical methods include :
- ANOVA
- Pearson's corrlation
- t-test

Examples of parametric statistics methods

Hypothesis testing with ANOVA

The one-way ANOVA is a specific type of analysis of variance used to compare the means of more than two samples ($$M_1, M_2 \ldots M_G$$) to determine if there are statistically significant differences among them. This statistical test is specifically applied within between-subjects designs where a single independent variable is manipulated across multiple independent groups.

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