The one-sample chi-square is used to determine whether the distribution of a single categorical variable is significantly different from what would be expected by chance.

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The one-sample chi-square is commonly used in hypothesis testing to determine whether the observed distribution of a categorical variable differs significantly from an expected distribution. It is also referred to as a goodness-of-fit test, as it assesses how well the observed data fit the expected distribution.

The One-Sample Chi-Square Is Used to Determine Whether the Distribution