Non-parametric tests are the mathematical techniques used in statistical speculation testing, which do now no longer make assumptions approximately the frequency distribution of variables that are to be evaluated. The non-parametric test is used while there are skewed information, and it contains strategies that don’t depend upon data relating any unique distribution.
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The phrase non-parametric does now no longer imply that those models do now no longer have any parameters. The truth is, the characteristics and wide variety of parameters are pretty bendy and now no longer predefined. Therefore, those models are known as distribution-free models.
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Table of Content Non Parametric Test PPT
- Definition
- Introduction
- Non-parametric Test
- Advantages of Non-parametric Test
- Disadvantages of Non-parametric Test
- Applications of Non-parametric Test
- Conclusion
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