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Home/Nonparametric Statistics

Category: Nonparametric Statistics

Nonparametric Statistics

How to Determine Correlation Analysis for Nonparametric Variables

By Kanda Data / Date Jul 30.2023

Correlation analysis aims to determine the relationship between variables. Partial correlation analysis is the analysis most often used by researchers.

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Nonparametric Statistics

Descriptive Statistical Analysis of Non-Parametric Variables (Nominal and Ordinal Scales)

By Kanda Data / Date May 31.2023

Based on its methods, statistics can be divided into descriptive statistics and inferential statistics. Researchers can choose to use either of these methods or even combine both methods of data analysis.

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Nonparametric Statistics

Wilcoxon Test | Different test of two paired samples for non-parametric variables

By Kanda Data / Date May 21.2023

Differences test is one of the most commonly used associative tests by researchers. Differences test can be conducted on both parametric and non-parametric variables. For parametric variables, the differences test can utilize the t-test assuming normally distributed data.

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Nonparametric Statistics

Mann-Whitney Test | Different test of two independent samples for non-parametric variables

By Kanda Data / Date May 14.2023

In statistics, the association tests commonly conducted by researchers consist of tests of influence, relationship, and difference. Researchers often use the t-test to examine the mean difference between two sample groups. Typically, the measurement scale used in the t-test is the interval and ratio scales, which are normally distributed.

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