chi-squared-distribution

The Chi-Squared Distribution is a fundamental concept in statistics, particularly in hypothesis testing and confidence interval estimation. It arises from the sum of the squares of independent standard normal random variables, making it a special case of the Gamma Distribution. This distribution is widely used to assess how well observed data fit expected data, particularly in tests like the Chi-Squared test for independence and goodness-of-fit. The Chi-Squared Distribution is characterized by its degrees of freedom, which influence its shape and properties, making it essential for various statistical analyses and interpretations in research.

Chi-Square Statistic & Chi-Squared Distribution

 Towards Data Science

The Chi-Square Statistic is a number that describes the relationship between the theoretically assumed data and the actual data. It is usually considered as a number or statistic value that verifies…

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Chi-Square Distribution Simply Explained

 Towards Data Science

A simple explanation of the Chi-Square Distribution and its origins Continue reading on Towards Data Science

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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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Estimating Chi-Square Distribution Parameters Using R

 R-bloggers

Introduction In the world of statistics and data analysis, understanding and accurately estimating the parameters of probability distributions is crucial. One such distribution is the chi-square distr...

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Estimating Chi-Square Distribution Parameters Using R

 R-bloggers

Introduction In the world of statistics and data analysis, understanding and accurately estimating the parameters of probability distributions is crucial. One such distribution is the chi-square distr...

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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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Probability for Data Scientists: The Capable Chi-Squared Distribution

 Towards Data Science

Interactive Visualization of the Distribution Functions Continue reading on Towards Data Science

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Chi-square distribution and test in R

 R-bloggers

Greetings, humanists, social and data scientists! Was there an association or relationship between gender and the verdicts in investigations in 18th-century London? If an inquest concerned a man, did ...

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The Chi-Squared Test Statistic is a Must For Every Data Scientist: A Case Study in Customer Churn

 Towards Data Science

The chi-square statistic is a useful tool for understanding the relationship between two categorical variables. For the sake of example, let’s say you work for a tech company that has rolled out a…

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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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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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Distributions

 Think Bayes

In the previous chapter we used Bayes’s Theorem to solve a cookie problem; then we solved it again using a Bayes table. In this chapter, at the risk of testing your patience, we will solve it one mor...

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