A parameter in statistics refers to an aspect of a population, as opposed to a statistic, which refers to an aspect about a sample. For example, the population mean is a parameter, while the sample mean is a statistic. A parametric statistical test makes an assumption about the population parameters and the distributions that the data came from. These types of test includes Student’s T tests and ANOVA tests, which assume data is from a normal distribution.

This topic covers: T Test, Application of t-test, Unpaired t-test, Paired T-Test, Applications of T-Test in Pharmaceutical Industry, Chi Square test, Application of chi-square, Analysis of Variance (ANOVA), One Way ANOVA, Two Way ANOVA, Main Effect and Interaction Effect, Assumptions for Two Way ANOVA, Applications of Anova in Pharmaceutical Industry, ANOVA vs. T Test.

Level of significance (Parametric data)

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