Non-Parametric Methods
Non-parametric methods, on just the contrary, do not presuppose the specific parameters of the data and therefore, they work for any kind of data.
Rank-Based Tests
- Mann-Whitney U Test: A nonparametric test based on the chi-squared statistic fitting for finding out whether independent groups differ from each other.
- Kruskal-Wallis Test: Addition to the one sample Mann-Whitney U test where more than two groups are compared.
Distribution-Free Methods
- Bootstrapping: A sampling method that repeatedly carries out a process of drawing samples from the dataset in order to estimate the probability distribution of sampling.
- Permutation Tests: Check the null hypothesis using the ratios of test statistics calculated from randomizing the order of the data points.
Types of Statistical Data Analysis
Statistics data analysis is a class of analysis that includes different techniques and methods for collection, data analysis, interpretation and presentation of data. Knowing the approach to data analysis is one of the crucial aspects that allows drawing a meaningful conclusion. In this article, the most fundamental types of statistical data analysis will be described. The authors will explain all the terms and concepts easily.
Contact Us