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Methods of Theoretical Statistics Analyses of Parametric and Non-Parametric Tests

Meghna Mishra

Abstract


The statistical analysis will give significance to irrelevant data, breathing life into earlier lifeless data. The evaluation of sample, statistical inference, and numerical errors are all discussed. Only when appropriate statistical tests are used will the results and inferences be precise. Finally, a list of parametric and non-parametric data analysis tests is provided. The article gives a brief overview of the variables, as well as an understanding of quantitative and qualitative variables, as well as parametric and non-parametric tests. The purpose of this article is to introduce the reader to the basic research tools in use in multiple studies.


Keywords


Statistics, data analysis, parametric tests, non-parametric tests, variables, ANOVA test.

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References


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