Crisp Reading Notes on Latest Technology Trends and Basics

Overview

  • Chi-square tests are a measure of how far a probability distribution is from the expected distribution
  • This has two common use cases
    • To estimate how good is a fit of the population whose sample is extracted to a theoretical distribution
    • How independent are two  variables by observing the deviation of the actual samples from the expected distributions
  • Beyond the theory, this is a very simple and straight-forward formula, that can be used effectively
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