Statistics - Scicoding

Scicoding

Statistics

A collection of 3 posts

Guide to t-test in Python: Applications in Data Analysis

Guide to t-test in Python: Applications in Data Analysis

Statistical tests are a fundamental part of data analysis, providing insights and supporting decision-making processes by testing hypotheses and measuring the reliability of data. Among these, the t-test holds a special place due to its versatility and simplicity. This article aims to explain the t-test, showcasing its application in Python

The t-test: Practical Applications and Scenarios

The t-test: Practical Applications and Scenarios

The t-test, a cornerstone in the realm of statistical analysis, is a tool that researchers, scientists, and data analysts alike often employ to decipher the narrative hidden within their data. This inferential statistical test offers insights into whether there's a significant difference between the means of two groups, making it

A Step-by-Step Walkthrough of the Wilcoxon Rank Sum Test and Mann-Whitney U Test

A Step-by-Step Walkthrough of the Wilcoxon Rank Sum Test and Mann-Whitney U Test

In the world of statistics and data analysis, understanding the nature of your data and choosing the appropriate test is paramount. While many of us are introduced to the t-test as a standard method for comparing group means, it's not always the best fit, especially when dealing with non-normally distributed