Min.Version: 2025b (10.25) Updated on: 10/16/2025

Statistical process control (SPC) or statistical quality control (SQC) is the application of statistical techniques to measure, monitor and control the quality of a process.

Min.Version: 2025b (10.25) Updated on: 10/16/2025

Using repeatability and reproducibility analysis to measure the measurement error in measurement systems.

Min.Version: 2025b (10.25) Updated on: 9/17/2025

Perform regression to study the relationship between a response variable and categorical or continuous independent variables.

Min.Version: 2025b (10.25) Updated on: 9/17/2025

Display the correlation coefficient matrix including its P-value in a graph.

Min.Version: 2025b (10.25) Updated on: 9/10/2025

Create DOE design matrix, perform analysis and optimization.

Min.Version: 2025b (10.25) Updated on: 6/13/2025

Compare all possible multiple linear regression models for given independent variables, and display optimal subsets of independent variables for different statistics.

Min.Version: 2018 (9.5) Updated on: 6/13/2025

Perform principal component analysis on spectroscopy data.

Min.Version: 2021b (9.85) Updated on: 6/12/2025

Fit the probit analysis procedure.

Min.Version: 2021 (9.8) Updated on: 6/12/2025

Support vector machine for classification.

Min.Version: 2025b (10.25) Updated on: 6/12/2025

Calculate tolerance intervals for data from normal or non-normal distribution.

Min.Version: 2025 (10.2) Updated on: 6/12/2025

Perform poisson regression with Python.

Min.Version: 2025b (10.25) Updated on: 6/12/2025

It is used to assess if appraisers are consistent with themselves, with each other, and with the known standards.

Min.Version: 2025b (10.25) Updated on: 6/12/2025

Fit a linear model with fixed effects and random effects.

Min.Version: 2025b (10.25) Updated on: 6/12/2025

Fit binary decision tree for classification.

Min.Version: 2025b (10.25) Updated on: 6/12/2025

Create plots with significant differences for pairwise comparison

Min.Version: 2025b (10.25) Updated on: 6/12/2025

Perform hierarchical cluster analysis along columns and rows, and plot heat map with dendrogram (PRO Only)

Min.Version: 2025b (10.25) Updated on: 6/12/2025

Perform binary, multinomial, and ordinal logistic regression.

Min.Version: 2025b (10.25) Updated on: 6/12/2025

Use a small number of latent variables to explain variability among many observed variables.

Min.Version: 2025b (10.25) Updated on: 6/12/2025

Perform multivariate analysis of variance.

Min.Version: 2018b (9.55) Updated on: 6/12/2025

Run redundancy analysis on explanatory data ( x matrix) and response data (y matrix).

Min.Version: 2018 (9.5) Updated on: 6/12/2025

Perform multiple comparisons for Kruskal-Wallis ANOVA, Moods Median Test and Friedman ANOVA.

Min.Version: 2018 (9.5) Updated on: 6/12/2025

An enhanced version of Principal Component Analysis tool.

Min.Version: 2021 (9.8) Updated on: 4/7/2025

Perform detrended correspondence analysis.

Min.Version: 2025 (10.2) Updated on: 4/7/2025

Perform discriminant analysis with partial least squares.

Min.Version: 2022b (9.95) Updated on: 2/21/2025

Perform neural network fitting using Python.

Min.Version: 2020 (9.7) Updated on: 2/21/2025

Fit data with neural network.

Min.Version: 2025 (10.2) Updated on: 12/11/2024

Select samples from input data randomly with or without replacement.

Min.Version: 2025b (10.25) Updated on: 12/6/2024

Tools to analyze and forecast data recorded at consistent intervals over a period of time.

Min.Version: 2022 (9.9) Updated on: 11/14/2024

Filter surface profile and calculate surface roughness parameters.

Min.Version: 2022 (9.9) Updated on: 11/14/2024

Perform one-way Welch's ANOVA.

Min.Version: 2019b (9.65) Updated on: 11/14/2024

Help to determine the appropriate statistical test/tool/App.

Min.Version: 2022 (9.9) Updated on: 11/6/2024

Perform structural equation modeling optimization.

Min.Version: 2023 (10.0) Updated on: 8/27/2024

Calculate effect size from ANOVA results.

Min.Version: 2019b (9.65) Updated on: 8/19/2024

Create 3D stacked histograms with distribution curves.

Min.Version: 2023b (10.05) Updated on: 7/2/2024

Fit a generalized linear model with fixed effects and random effects.

Min.Version: 2019b (9.65) Updated on: 6/26/2024

Detect single and multiple change points within data.

Min.Version: 2024 (10.1) Updated on: 1/11/2024

Fit a generalized linear model with spline functions of predictor variables.

Min.Version: 2024 (10.1) Updated on: 1/11/2024

Calculate the correlation matrix between the columns of x matrix and the columns of y matrix.

Min.Version: 2020b (9.75) Updated on: 1/9/2024

Calculate correlation between two multidimensional variables.

Min.Version: 2023b (10.05) Updated on: 1/9/2024

Find sparse principal components for optimally reconstructing data.

Min.Version: 2021b (9.85) Updated on: 12/5/2023

Identify the optimal number of clusters.

Min.Version: 2017 (9.4) Updated on: 11/20/2023

Create Forest Plot

Min.Version: 2023b (10.05) Updated on: 4/27/2023

Perform Chi-Square Test for contingency table to determine whether there is significant evidence of association between two variables.

Min.Version: 2023b (10.05) Updated on: 4/27/2023

Perform power and sample size analysis for equivalence tests including one-sample, two-sample and paired-sample.

Min.Version: 2020 (9.7) Updated on: 4/25/2023

Fit Gaussian mixture models and cluster test data.

Min.Version: 2020 (9.7) Updated on: 4/25/2023

Compare parameters across multiple datasets, or compare multiple datasets using a nonlinear model.

Min.Version: 2017 (9.4) Updated on: 2/22/2023

Perform simple time series analysis including autocorrelation, cross correlation, differencing, and single exponential smoothing.

Min.Version: 2017 (9.4) Updated on: 2/3/2023

Compute Allan variance for time series at given tau values.

Min.Version: 2017 (9.4) Updated on: 1/19/2023

Perform Equivalence Test for one sample, two samples and paired samples.

Min.Version: 2023 (10.0) Updated on: 11/3/2022

Use bootstrap sampling to estimate the statistic of input data.