Parametric Test: PDF / PPT
Download PDF, notes, and PPT related to Parametric Tests. This resource provides comprehensive material for understanding parametric statistical tests, their assumptions, and applications in data analysis.
Keywords: download pdf, notes, ppt, parametric tests, t-test, ANOVA, z-test, statistical methods
Parametric Tests: A Detailed Explanation
Parametric tests are a category of statistical tests that make specific assumptions about the parameters of the population from which the sample is drawn. These tests are widely used in hypothesis testing when the data meets certain conditions, such as normality, homogeneity of variance, and interval or ratio scale measurement.
Some of the most commonly used parametric tests include:
- T-Test: Used to compare the means of two groups. There are three types of t-tests: independent samples t-test, paired samples t-test, and one-sample t-test.
- ANOVA (Analysis of Variance): Used to compare the means of three or more groups. It helps determine whether there are any statistically significant differences between the means of the groups.
- Z-Test: Used to determine whether there is a significant difference between sample and population means. It is typically used when the sample size is large and the population variance is known.
Parametric tests are powerful tools for data analysis, but they require the data to meet specific assumptions. If these assumptions are violated, non-parametric tests may be more appropriate. Understanding the appropriate use of parametric tests is essential for accurate and reliable statistical analysis.
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