A simple guide to the use of Student’s t-test, Mann-Whitney U test, Chi-squared test, and Kruskal-Wallis test in biostatistics
University of Toronto · University of Milano-Bicocca · +2 more institutions
Abstract
In an age when machine learning and artificial intelligence are broadly employed, traditional statistics can still provide insightful information and results quickly and at a low computational cost. Statistics, in fact, offers many useful tools to researchers, including a series of univariate statistical tests that can identify relationships between pairs of numeric samples: Student's t-test, Mann-Whitney U test, Chi-squared test, and Kruskal-Wallis test. These tests generate several outcomes, including probability values (p-values) that can express a numerical quantity which accepts or rejects the null hypothesis, based on a certain threshold used. Although effective, these tests are often misused or employed…
Citation impact
- FWCI
- 33.35
- Percentile
- 100%
- References
- 85
Authors
3Topics & keywords
- Test (biology)
- Biostatistics
- Null hypothesis
- Univariate
- Kruskal–Wallis one-way analysis of variance
- Mann–Whitney U test
- Statistical hypothesis testing
- Computer science