chi-squared-test

The Chi-squared test is a statistical method used to determine if there is a significant association between categorical variables. It assesses how well observed data fit with expected data under a specific hypothesis. The test is particularly useful in various fields, including social sciences, biology, and machine learning, to evaluate the independence of variables or the goodness of fit of a model. By comparing the observed frequencies in each category to the expected frequencies, researchers can infer whether any deviations are due to chance or indicate a meaningful relationship. This makes the Chi-squared test a valuable tool for hypothesis testing.

The Chi-squared Goodness of Fit Test for Regression Analysis

 Towards Data Science

The Chi-Squared test (Chi as in Kaizen or Kaiser) is one of the most versatile tests of statistical significance.

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Chi-Square Hypothesis Testing in Statistics

 Towards AI

Chi-square test is a non-parametric test in hypothesis testing to know the association of two categorical features in bi-variate data or records. Non-parametric tests are distribution-free test…

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Machine Learning: Chi Square Test In Evaluating Predictions

 Towards Data Science

The chi square test is a useful, simple, and easy test to conduct to help gauge the unexpectedness or expectedness of outcomes in data. Included in this post will be the background and circumstances…

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Chi-Square Test in Machine Learning

 Towards AI

Picture a classroom with students choosing between two different activities: reading or playing sports. If you notice more students gravitating toward reading, you might wonder if this is just by coin...

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Chi-square test of independence by hand

 Towards Data Science

Chi-square tests of independence test whether two qualitative variables are independent, that is, whether there exists a relationship between two categorical variables. In other words, this test is…

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Chi-Square Test, with Python

 Towards Data Science

In this article, I will introduce the fundamental of the chi-square test (χ2), a statistical method to make the inference about the distribution of a variable or to decide whether there is a…

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Chi-Squared Test: Comparing Variations Through Soccer

 Towards Data Science

If you are not a paid member on Medium, I make my stories available for free: Friends link The term “Chi-Squared Test” is often thrown around without much clarification about which specific test is be...

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Chi-Squared Test: Revealing Hidden Patterns in Your Data

 Towards Data Science

Unlock hidden patterns in your data with the chi-squared test in Python. Cover Photo by Sulthan Auliya on Unsplash Part 1: What is Chi-Squared Test? When discussing hypothesis testing, there are many...

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Gentle Introduction to Chi-Square Test for Independence

 Towards Data Science

The Chi-square test for independence is also called Pearson’s chi-square test. Chi-square test for independence is used in science, economics, marketing, or other various fields. There are three ways…...

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Chi-Square Test in Python: A Technical Guide

 Python in Plain English

Exploring Categorical Variables in Education Through Python’s Chi-Square Test Image by author If you are wondering about which categorical feature has more effect on your target feature, you are at th...

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Chi-Square Test of Independence

 Towards Data Science

A simple and concise explanation of the Chi-Square Test of Independence Continue reading on Towards Data Science

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Chi-Square Goodness of Fit Test

 Towards Data Science

A Simple and Concise Explanation of the Chi-Square Goodness of Fit Statistical Test in Data Science Continue reading on Towards Data Science

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