ChiSquareTest (FSharp.Stats)

ChiSquareTest Type

Namespace: FSharp.Stats.Testing
Assembly: FSharp.Stats.dll
Base Type: obj

Two-Sample (Goodness-of-fit) Chi-Square Test (Upper Tail)

A chi-square test (also chi-squared or χ2 test) is any statistical hypothesis test in which the sampling distribution of the test statistic is a ChiSquareDistribution when the null hypothesis is true, or any in which this is asymptotically true, meaning that the sampling distribution (if the null hypothesis is true) can be made to approximate a chi-square distribution as closely as desired by making the sample size large enough.

The chi-square test is used whenever one would like to test whether the actual data differs from a random distribution.

References:

Static members

Static member	Description
`ChiSquareTest.compute degreesOfFreedom expected observed` Full Usage: `ChiSquareTest.compute degreesOfFreedom expected observed` Parameters: degreesOfFreedom : `int` expected : `float seq` observed : `float seq` Returns: `ChiSquareStatistics<float>`	Computes the Chi-Square test n data points -> degrees of freedom = n - 1 degreesOfFreedom : `int` expected : `float seq` observed : `float seq` Returns: `ChiSquareStatistics<float>`
`ChiSquareTest.pearsonChiSquared table` Full Usage: `ChiSquareTest.pearsonChiSquared table` Parameters: table : `Contingency2x2<'a, 'b>` Returns: `ChiSquareStatistics<float>`	table : `Contingency2x2<'a, 'b>` Returns: `ChiSquareStatistics<float>`
`ChiSquareTest.pearsonChiSquared table` Full Usage: `ChiSquareTest.pearsonChiSquared table` Parameters: table : `ContingencyTable<'a, 'b>` Returns: `float`	table : `ContingencyTable<'a, 'b>` Returns: `float`
`ChiSquareTest.pearsonChiSquaredWithYates table` Full Usage: `ChiSquareTest.pearsonChiSquaredWithYates table` Parameters: table : `Contingency2x2<'a, 'b>` Returns: `ChiSquareStatistics<float>`	Pearson χ² test with Yates’s continuity correction (only for 2×2). table : `Contingency2x2<'a, 'b>` Returns: `ChiSquareStatistics<float>`