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SOLUTIONS
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Functions
- BinCounts
- BoxWhiskerChart
- CityData
- CountryData
- Covariance
- DistributionFitTest
- EmpiricalDistribution
- EstimatedDistribution
- FinancialData
- FindClusters
- FindFit
- Fit
- GeneralizedLinearModelFit
- Histogram
- Import
- Interpolation
- LeastSquares
- LinearModelFit
- ListCorrelate
- LocationTest
- Mean
- Median
- MovingAverage
- MovingMedian
- Nearest
- NonlinearModelFit
- OpenSQLConnection
- Probability
- Quantile
- QuantilePlot
- RandomChoice
- RandomInteger
- RandomReal
- RandomVariate
- SmoothHistogram
- SQLSelect
- StandardDeviation
- Variance
- VarianceTest
- Related Guides
- Tutorials
Statistical Data Analysis
Mathematica integrates many aspects of statistical data analysis, from getting and exploring data to building high-quality models and and deducing consequences.
Mathematica provides multiple ways to get data, starting with built-in curated data sources, importing from a variety of file formats, or connecting to databases. Basic processing of data, including computing statistical quantities, smoothing, testing, and visualizing, gives a first level of analysis. By adding models to the mix, such as distributional or regression models, you can answer a wider range of analysis questions or even provide predictive capabilities.
Learning ResourcesLearning Resources
Related Web Resources Training CoursesCommunity |
Featured ExamplesFeatured Examples |
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Cluster a Bivariate Dataset
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Compare Maximum-Likelihood and Cramér-von Mises Estimates
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Compare Two Models of Wind Speeds
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Compute a Complex Probability
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Compute a Two-Tailed Probability
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Create a Correlation Table
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Create Paired Histograms for Comparing Data
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Customized Financial Data Visualizations
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Decompose Mixture Models of Earthquake Magnitudes
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Divide a Square into Segments by Clustering
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Estimate Parameters and Test Goodness of Fit
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Expected Length of a Human Chromosome
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Find a Meeting Probability
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Find and Visualize a Linear Regression
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Find and Visualize Clusters in Data
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Find and Visualize Residuals for Fitted Models
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Find Operational Rules for a Data Center
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Fit Nonparametric and Parametric Distributions to Weighted Data
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Fit Word Length Data to Distributions
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Improve the Manufacturing of LCD Displays
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Make a Histogram
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Make a Histogram of Stock Returns
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Model Claim Payments for Insurance
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Model Word Lengths by Binomial Distributions
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Perform Affine Transformations on a Normal Distribution
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Perform an Edgeworth Expansion to Approximate a Distribution
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Perform Statistical Semantic Analysis
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Perform Tests of Location and Scale Simultaneously on Multiple Datasets
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Simulate a Derived Distribution
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Simulate Incomes with Dagum Distribution
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Solve Optimization Problems in Density Estimation
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Test for Goodness of Fit to Any Distribution or Dataset
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Truncate a Distribution
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Use a Gompertz Distribution as a Lifetime Model
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Use a Logistic Distribution to Simulate Fractional Change
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Use Chart Elements and Color Schemes
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Use Component Mixtures to Model Multimodal Data
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Use Different Copula Kernels
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Visualize an Urn Model with Weighted Balls
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Visualize Distribution Functions for a Fitted Multivariate Distribution
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Visualize Optimal Parameter Values
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Visualize the Multivariate Poisson Distribution in 3D
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Visualize the Projected Lifetime of a Component
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Word Length Distribution in Various Languages
ReferenceReference
Computable Data »
CountryData ▪ CityData ▪ FinancialData ▪ ...
Importing Data »
Import ▪ "CSV" ▪ "XLS" ▪ "MDB" ▪ ...
Database Data »
OpenSQLConnection ▪ SQLSelect ▪ ...
Statistical Quantities »
Mean ▪ Variance ▪ StandardDeviation ▪ Median ▪ Quantile ▪ Covariance ▪ ...
Data Smoothing »
MovingAverage ▪ MovingMedian ▪ ListCorrelate ▪ ...
Statistical Visualization »
Histogram ▪ SmoothHistogram ▪ QuantilePlot ▪ BoxWhiskerChart ▪ ...
Exploratory Data Analysis »
BinCounts ▪ FindClusters ▪ Nearest ▪ ...
Hypothesis Tests »
DistributionFitTest ▪ LocationTest ▪ VarianceTest ▪ ...
Probability & Statistics »
EstimatedDistribution ▪ EmpiricalDistribution ▪ Probability ▪ ...
Statistical Model Analysis »
LinearModelFit ▪ NonlinearModelFit ▪ GeneralizedLinearModelFit ▪ ...
Random Sampling »
RandomReal ▪ RandomInteger ▪ RandomVariate ▪ RandomChoice ▪ ...
Data Fitting »
FindFit — find a general nonlinear fit
Fit ▪ Interpolation ▪ LeastSquares ▪ ...
