Month: May 2023
Descriptive Statistical Analysis of Non-Parametric Variables (Nominal and Ordinal Scales)
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.
Wilcoxon Test | Different test of two paired samples for non-parametric variables
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.
Mann-Whitney Test | Different test of two independent samples for non-parametric variables
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.
How to Test Normality of Residuals in Linear Regression and Interpretation in R (Part 4)
The normality test of residuals is one of the assumptions required in the multiple linear regression analysis using the ordinary least square (OLS) method. The normality test of residuals is aimed to ensure that the residuals are normally distributed.