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Chi Square Distribution

This lesson is part of NumPy · All levels

Summary

The chi-square distribution is the sum of the squares of the normal random variables of the free standard. The chi-square test in statistics uses this distribution to test the relationships between data categories.

Key points

Chisquare(df, size) with df = degrees of freedom.
The resulting value is always non-negative because it is the sum of squares.
The larger the df, the more symmetrical the distribution approaches normal.
The basis for the chi-square test for the association and matching of categorical data.

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