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: 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: 2025 (10.2) Updated on: 4/7/2025

Perform discriminant analysis with partial least squares.

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: 2023 (10.0) Updated on: 8/27/2024

Calculate effect size from ANOVA results.

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

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

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

Find sparse principal components for optimally reconstructing data.

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: 2023 (10.0) Updated on: 11/3/2022

Use bootstrap sampling to estimate the statistic of input data.