In addition, this study uses the Friedman Chi-Square Test to analyze and compare the manual plotting results, supported by Python programming for further statistical evaluation. The findings offer ...

Hypothesis Testing in Data Analysis This repository contains a Jupyter Notebook demonstrating various hypothesis testing techniques using Python. It covers statistical tests such as t-tests, ANOVA, ...

This research introduces an innovative method to evaluate data representation in materials science and engineering., utilizing actual tensile strength test results of carbon steel integrated into ...

The chi-squared test, often written as χ2 test, is a statistical hypothesis test used in the analysis of categorical variables to determine whether observed data are different from expectations. In ...

Learn how to test your SEO theories using Python. Discover the steps required to pre-test search engine rank factors and validate implementation sitewide.

By conducting a comparative analysis, we assess the efficiency and effectiveness of our proposed neutrosophic chi-square -test for consistency. Furthermore, we illustrate the application of the ...

Spread the loveThe Chi-Square test is a widely-used statistical method that measures the relationship between categorical variables. One of the key concepts in this test is the degree of freedom (DF), ...

A chi-square (χ2) statistic is a test that is used to measure how expectations compare to actual observed data or model results.