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What is meant by Nonparametric Statistics?
Nonparametric Statistics is a branch or separate division of the discipline of statistics and in this topic, various statistical methods are studied which does not require the exclusive presence of normal distribution. The most prominent aspect of the nonparametric statistics is that the data used in it is mostly ordinal which means that it does not solely rely on numbers and uses the system of order and ranking. In general statistics, the main parameters you might have studied are mean, median, mode, variance, etc. Whereas in non-parametric statistics we use unidentified parameters like μ (mean) and σ2 (variance) which are calculated and estimated at later stages. The name nonparametric statistics doesn't mean that the parameters don't exist instead the parameters used are flexible and uses concepts of descriptive models, probability distribution, statistical models, tests and inference.
Here are a few topics also included in Nonparametric statistics assignment help service and related to nonparametric statistics.
- Cohen's kappa
- Sampling Distribution
- Kolmogorov-Smirnov test
- Kendall's tau
- T Distribution
- Simple Random Sample
- Cochran's Q
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