Getting Started

    Preface
        How to Use This Guide
        Related Products List
        Typographical Conventions

    Introduction
        What Is the Statistics Toolbox?
        Primary Topic Areas
        Random Numbers in Examples
        Mathematical Notation

Examples

Probability Distributions

    Introduction
    Overview of the Functions
        Probability Density Function (pdf)
        Cumulative Distribution Function (cdf)
        Inverse Cumulative Distribution Function
        Random Number Generator
        Mean and Variance as a Function of Parameters

    Overview of the Distributions
        Beta Distribution
        Binomial Distribution
        Chi-Square Distribution
        Noncentral Chi-Square Distribution
        Discrete Uniform Distribution
        Exponential Distribution
        F Distribution
        Noncentral F Distribution
        Gamma Distribution
        Geometric Distribution
        Hypergeometric Distribution
        Lognormal Distribution
        Negative Binomial Distribution
        Normal Distribution
        Poisson Distribution
        Rayleigh Distribution
        Student's t Distribution
        Noncentral t Distribution
        Weibull Distribution

Descriptive Statistics

    Introduction
    Measures of Central Tendency (Location)
    Measures of Dispersion
    Functions for Data with Missing Values (NaNs)
    Function for Grouped Data
    Percentiles and Graphical Descriptions
        Percentiles
        Probability Density Estimation
        Empirical Cumulative Distribution Function

    The Bootstrap

Linear Models

    Introduction
    One-Way Analysis of Variance (ANOVA)
        Example: One-Way ANOVA
        Multiple Comparisons
        Example: Multiple Comparisons

    Two-Way Analysis of Variance (ANOVA)
        Example: Two-Way ANOVA

    N-Way Analysis of Variance
        Example: N-Way ANOVA with Small Data Set
        Example: N-Way ANOVA with Large Data Set

    Multiple Linear Regression
        Mathematical Foundations of Multiple Linear Regression
        Example: Multiple Linear Regression

    Quadratic Response Surface Models
        Exploring Graphs of Multidimensional Polynomials

    Stepwise Regression
        Example: Stepwise Regression
        Stepwise Regression Plot
        Stepwise Regression Diagnostics Table

    Generalized Linear Models
        Example: Generalized Linear Models

    Robust and Nonparametric Methods
        Robust Regression
        Kruskal-Wallis Test
        Friedman's Test

Nonlinear Regression Models

    Introduction
    Nonlinear Least Squares
        Example: Nonlinear Modeling
        An Interactive GUI for Nonlinear Fitting and Prediction

    Regression and Classification Trees

Hypothesis Tests

    Introduction
    Hypothesis Test Terminology
    Hypothesis Test Assumptions
    Example: Hypothesis Testing
    Available Hypothesis Tests

Multivariate Statistics

    Introduction
    Principal Components Analysis
        Example: Principal Components Analysis
        The Principal Components (First Output)
        The Component Scores (Second Output)
        The Component Variances (Third Output)
        Hotelling's T2 (Fourth Output)

    Factor Analysis
        Example: Finding Common Factors Affecting Stock Prices
        Factor Rotation
        Predicting Factor Scores
        Comparison of Factor Analysis and Principal Components Analysis

    Multivariate Analysis of Variance (MANOVA)
        Example: Multivariate Analysis of Variance

    Cluster Analysis
        Hierarchical Clustering
        K-Means Clustering

    Classical Multidimensional Scaling
        Overview
        Reconstructing a Map from Inter-City Distances

Statistical Plots

    Introduction
    Box Plots
    Distribution Plots
        Normal Probability Plots
        Quantile-Quantile Plots
        Weibull Probability Plots
        Empirical Cumulative Distribution Function (CDF)

    Scatter Plots

Statistical Process Control

    Introduction
    Control Charts
        Xbar Charts
        S Charts
        EWMA Charts

    Capability Studies

Design of Experiments

    Introduction
    Full Factorial Designs
    Fractional Factorial Designs
    Response Surface Designs
        Central Composite Designs
        Box-Behnken Designs

    D-Optimal Designs
        Generating D-Optimal Designs
        Augmenting D-Optimal Designs
        Designing Experiments with Uncontrolled Inputs
        Controlling Candidate Points
        Including Categorical Factors

Demos

    Introduction
    The disttool Demo
    The polytool Demo
        Confidence Bounds
        Overfitting

    The aoctool Demo
        Example: aoctool with Sample Data

    The randtool Demo
    The rsmdemo Demo
        Part 1
        Part 2

    The glmdemo Demo
    The robustdemo Demo

Functions -- By Category

    Probability Distributions
    Descriptive Statistics
    Statistical Plotting
    Statistical Process Control
    Linear Models
    Nonlinear Regression
    Design of Experiments
    Multivariate Statistics
    Decision Tree Techniques
    Hypothesis Tests
    Distribution Testing
    Nonparametric Testing
    File I/O
    Demonstrations
    Data

Functions -- Alphabetical List

Selected Bibliography

Printable Documentation (PDF)

Product Page (Web)