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SOLUTIONS
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Functions
- AbsoluteCorrelation
- BinCounts
- BlomqvistBeta
- BoxWhiskerChart
- CDF
- CentralMoment
- CharacteristicFunction
- Commonest
- ContraharmonicMean
- Correlation
- Covariance
- Cumulant
- Entropy
- Expectation
- FactorialMoment
- GeometricMean
- GoodmanKruskalGamma
- HarmonicMean
- Histogram
- Histogram3D
- HoeffdingD
- InterquartileRange
- InverseCDF
- KendallTau
- Kurtosis
- Mean
- MeanDeviation
- Median
- MedianDeviation
- Moment
- PillaiTrace
- Probability
- Quantile
- QuantilePlot
- QuartileDeviation
- Quartiles
- QuartileSkewness
- RankedMin
- RootMeanSquare
- Skewness
- SpearmanRho
- StandardDeviation
- TrimmedMean
- Variance
- WilksW
- Related Guides
- Tutorials
Descriptive Statistics
Mathematica's descriptive statistics functions operate both on explicit data and on symbolic representations of statistical distributions. When operating on explicit data, the functions routinely handle huge datasets, which can contain not only numbers but also symbolic elements representing, for example, parametrized or unknown data.
ReferenceReference
Location Measures
Mean ▪ Median ▪ Commonest ▪ RootMeanSquare ▪ TrimmedMean ▪ HarmonicMean ▪ GeometricMean ▪ ContraharmonicMean
Dispersion Measures
Variance ▪ StandardDeviation ▪ MeanDeviation ▪ MedianDeviation ▪ QuartileDeviation ▪ InterquartileRange
Shape Measures
Skewness ▪ Kurtosis ▪ QuartileSkewness ▪ Entropy
Dependency Measures
Covariance ▪ Correlation ▪ AbsoluteCorrelation ▪ SpearmanRho ▪ KendallTau ▪ HoeffdingD ▪ GoodmanKruskalGamma ▪ BlomqvistBeta ▪ WilksW ▪ PillaiTrace
General Measures
Moment ▪ CentralMoment ▪ FactorialMoment ▪ Cumulant
Quantile ▪ Quartiles ▪ RankedMin ▪ Expectation ▪ Probability ▪ BinCounts
Symbolic Features of Distributions
CDF ▪ PDF ▪ InverseCDF ▪ CharacteristicFunction
Multivariate Measures
Statistical Visualization »
Histogram ▪ Histogram3D ▪ QuantilePlot ▪ BoxWhiskerChart ▪ ...
