Chi-square test
The Chi-square test is a statistical method used to determine if there's a significant difference between observed and expected data in categorical variables. For example, if you want to know if a die is fair, you can compare the number of times each number appears (observed) against what you'd expect if the die were fair (expected). A large difference suggests the die may not be fair. Essentially, this test helps us understand whether any observed differences are likely due to chance or if they indicate a real effect or relationship.
Additional Insights
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The chi-square test is a statistical method used to determine if there is a significant difference between expected and observed data in categorical variables. For example, if you want to know if dice rolls are fair, you would compare the number of times each face appears (observed) against what you expect in a fair roll (expected). If the difference is too large, it suggests that the outcomes are not happening by chance, potentially indicating bias or some other influencing factor. It helps in making sense of patterns in data, especially when dealing with different categories.