NCSS Documentation
Use the links below to load individual chapters from the NCSS documentation in PDF format. The chapters correspond to the procedures available in NCSS. Each chapter generally has an introduction to the topic, technical details, explanations for the procedure options, and examples. Each of these chapters is also available through the NCSS help system when running the software.
Jump to topic:- ANOVA
- Appraisal
- Cluster Analysis
- Correlation
- Curve Fitting
- Descriptive Statistics
- Design of Experiments
- Diagnostic Tests
- Distribution Fitting
- Forecasting
- Group-Sequential
- Item Analysis
- Meta-Analysis
- Method Comparison
- Mixed Models
- Multivariate Analysis
- Nondetects Data
- Nonparametric
- Operations Research
- Proportions
- Quality Control
- Reference Intervals
- Regression
- ROC Curves
- Survey Data
- Survival Analysis / Reliability
- Time Series
- T-Tests
- Two-Way Tables
Quick Start
Introduction
Data
- Data Entry and Search Tool
- Stacking Data
- Unstacking Data
- Creating Contrast Variables
- Importing Data
- Exporting Data
- Exporting Data to R
- Data List
- Data Screening
- Transformations
- Group By
- Filters
- Merging Two Datasets
- Data Simulation
- Data Matching - Optimal and Greedy
- Data Stratification
Analysis
ANOVA
- One-Way Analysis of Variance
- Box-Cox Transformation for Two or More Groups (T-Test and One-Way ANOVA)
- Analysis of Covariance (ANCOVA) with Two Groups
- One-Way Analysis of Covariance (ANCOVA)
- Balanced Design Analysis of Variance
- General Linear Models (GLM)
- General Linear Models (GLM) for Fixed Factors
- Repeated Measures Analysis of Variance
- Multivariate Analysis of Variance (MANOVA)
- Analysis of Two-Level Designs
- Nondetects-Data Group Comparison
- Area Under Curve
Appraisal
- Appraisal Ratio Studies
- Hybrid Appraisal Models
- Comparables Appraisal
- Descriptive Statistics
- Descriptive Statistics - Summary Tables
- Descriptive Statistics - Summary Lists
- Linear Regression and Correlation
- Linear Regression and Correlation (Old Version)
- Multiple Regression for Appraisal
- Multiple Regression - Basic
- Multiple Regression
- Multiple Regression with Serial Correlation
- Nonlinear Regression
- Appraisal Ratios (Old Version)
- Comparables - Sales Price (Old Version)
- Hybrid Appraisal Models (Old Version)
Cluster Analysis
- Fuzzy Clustering
- Hierarchical Clustering / Dendrograms
- K-Means Clustering
- Medoid Partitioning
- Regression Clustering
- Clustered Heat Maps (Double Dendrograms)
Correlation
Correlation (Pearson, Spearman, Kendall's Tau)
Correlation and Linear Regression
Correlation Matrix
Point-Biserial and Biserial Correlations
Box-Cox Transformation for Simple Linear Regression
Canonical Correlation
Cronbach's Alpha in Item Analysis
Bland-Altman Plot and Analysis
Lin's Concordance Correlation Coefficient
Circular Data Correlation
Curve Fitting
- Introduction to Curve Fitting
- General (Custom and Preset) Model Fit - Y vs One X
- Michaelis-Menten Model Fit - Y vs One X
- Polynomial Model Fit - Y vs One X
- Polynomial Model Search - Y vs One X
- Sum of Functions (of X) Model Fit - Y vs One X
- Fractional Polynomial Regression - Y vs One X
- Nonlinear Regression
- Polynomial Model Fit - Y vs Multiple X's
- Polynomial Model Search - Y vs Multiple X's
- Curve Fitting - CDF
- Age-Specific Reference Intervals
- Function Plots
- Scatter Plot Matrix for Curve Fitting
Descriptive Statistics
- Descriptive Statistics
- Descriptive Statistics - Summary Tables
- Descriptive Statistics - Summary Lists
- Cluster Randomization - Create Cluster Means Dataset
- Contingency Tables (Crosstabs / Chi-Square Test)
- Frequency Tables
- Box-Cox Transformation
- Data Screening
- Data Simulation
- Grubbs' Outlier Test
- Normality Tests
- Area Under Curve
- Circular Data Analysis
- Tolerance Intervals
- Descriptive Statistics - Summary Tables (Old Version)
Design of Experiments
- Randomization Lists
- Balanced Incomplete Block Designs
- Fractional Factorial Designs
- Latin Square Designs
- Response Surface Designs
- Screening Designs
- Taguchi Designs
- Two-Level Designs
- Design Generator
- D-Optimal Designs
- Analysis of Two-Level Designs
- Response Surface Regression
Diagnostic Tests
- Binary Diagnostic Tests - Single Sample
- Binary Diagnostic Tests - Clustered Samples
- Binary Diagnostic Tests - Two Independent Samples
- Binary Diagnostic Tests - Paired Samples
- One ROC Curve and Cutoff Analysis
- Comparing Two ROC Curves - Paired Design
- Comparing Two ROC Curves - Independent Groups Design
- ROC Curves (Old Version)
Distribution Fitting
Beta Distribution Fitting
Distribution (Weibull) Fitting
Gamma Distribution Fitting
Grubbs' Outlier Test
Normality Test
Probability Plots
- Normal Probability Plots
- Weibull Probability Plots
- Chi-Square Probability Plots
- Exponential Probability Plots
- Gamma Probability Plots
- Half-Normal Probability Plots
- Log-Normal Probability Plots
- Uniform Probability Plots
- Probability Plot Comparison
Forecasting
- The Box-Jenkins Method
- ARIMA (Box-Jenkins)
- Automatic ARMA
- Theoretical ARMA
- Autocorrelations
- Cross-Correlations
- Spectral Analysis
- Decomposition Forecasting
- Exponential Smoothing - Horizontal
- Exponential Smoothing - Trend
- Exponential Smoothing - Trend / Seasonal
- Harmonic Regression
- Analysis of Runs
- Time Series Plots
Group-Sequential
One Mean
- Group-Sequential Analysis for One Mean with Known Variance
- Group-Sequential Non-Inferiority Analysis for One Mean with Known Variance
- Group-Sequential Superiority by a Margin Analysis for One Mean with Known Variance
- Group-Sequential T-Tests for One Mean
- Group-Sequential Non-Inferiority T-Tests for One Mean
- Group-Sequential Superiority by a Margin T-Tests for One Mean
Two Means
- Group-Sequential Analysis for Two Means with Known Variances
- Group-Sequential Non-Inferiority Analysis for Two Means with Known Variances
- Group-Sequential Superiority by a Margin Analysis for Two Means with Known Variances
- Group-Sequential T-Tests for Two Means
- Group-Sequential Non-Inferiority T-Tests for Two Means
- Group-Sequential Superiority by a Margin T-Tests for Two Means
One Proportion
- Group-Sequential Analysis for One Proportion
- Group-Sequential Non-Inferiority Analysis for One Proportion
- Group-Sequential Superiority by a Margin Analysis for One Proportion
Two Proportions
- Group-Sequential Analysis for Two Proportions
- Group-Sequential Non-Inferiority Analysis for Two Proportions
- Group-Sequential Superiority by a Margin Analysis for Two Proportions
One Hazard Rate
- Group-Sequential Analysis for One Hazard Rate
- Group-Sequential Non-Inferiority Analysis for One Hazard Rate
- Group-Sequential Superiority by a Margin Analysis for One Hazard Rate
Two Hazard Rates
- Group-Sequential Analysis for Two Hazard Rates
- Group-Sequential Non-Inferiority Analysis for Two Hazard Rates
- Group-Sequential Superiority by a Margin Analysis for Two Hazard Rates
One Poisson Rate
- Group-Sequential Analysis for One Poisson Rate
- Group-Sequential Non-Inferiority Analysis for One Poisson Rate
- Group-Sequential Superiority by a Margin Analysis for One Poisson Rate
Two Poisson Rates
- Group-Sequential Analysis for Two Poisson Rates
- Group-Sequential Non-Inferiority Analysis for Two Poisson Rates
- Group-Sequential Superiority by a Margin Analysis for Two Poisson Rates
Item Analysis
Meta-Analysis
- Meta-Analysis of Two Proportions
- Meta-Analysis of Proportions (Old Version)
- Meta-Analysis of Correlated Proportions
- Meta-Analysis of Two Means
- Meta-Analysis of Means (Old Version)
- Meta-Analysis of Standardized Mean Differences
- Meta-Analysis of Hazard Ratios
- Forest Plots
Method Comparison
- Bland-Altman Plot and Analysis
- Deming Regression
- Passing-Bablok Regression for Method Comparison
- Lin's Concordance Correlation Coefficient
- Grubbs' Outlier Test
- Normality Tests
Mixed Models
- Mixed Models - General
- Mixed Models - No Repeated Measures
- Mixed Models - Repeated Measures
- Mixed Models - Random Coefficients
Multivariate Analysis
- Factor Analysis
- Principal Components Analysis
- Canonical Correlation
- Equality of Covariance
- Discriminant Analysis
- Hotelling's One-Sample T2
- Hotelling's Two-Sample T2
- Multivariate Analysis of Variance (MANOVA)
- Correspondence Analysis
- Loglinear Models
- Multidimensional Scaling
Nondetects Data
Nonparametric
Cochran's Q Test
Conover Equal Variance Test
Cumulative Incidence Curves
Dunn's Test
Dwass-Steel-Critchlow-Fligner Test
Friedman's Rank Test
Kaplan-Meier Curves
Kendall's Tau Correlation
Kolmogorov-Smirnov Test
Kruskal-Wallis Test
Logrank Test
Mann-Whitney U or Wilcoxon Rank-Sum Test
- Two-Sample T-Test
- Two-Sample T-Test for Non-Inferiority
- Two-Sample T-Test for Superiority by a Margin
- Two-Sample T-Test for Equivalence
- Analysis of 2x2 Cross-Over Designs using T-Tests
- Analysis of 2x2 Cross-Over Designs using T-Tests for Non-Inferiority
- Analysis of 2x2 Cross-Over Designs using T-Tests for Superiority by a Margin
- Analysis of 2x2 Cross-Over Designs using T-Tests for Equivalence
McNemar Test
- Two Correlated Proportions (McNemar Test)
- Contingency Tables (Crosstabs / Chi-Square Test)
- Cochran's Q Test
Nondetects-Data Group Comparison
Randomization Tests
- One-Sample T-Test
- Paired T-Test
- Two-Sample T-Test
- Linear Regression and Correlation
- Linear Regression and Correlation (Old Version)
- General (Custom and Preset) Model Fit - Y vs One X
- Michaelis-Menten Model Fit - Y vs One X
- Polynomial Model Fit - Y vs One X
- Curve Fitting - CDF
- Hotelling's One-Sample T2
- Hotelling's Two-Sample T2
- Kaplan-Meier Curves (Logrank Tests)
ROC Curves
- One ROC Curve and Cutoff Analysis
- Comparing Two ROC Curves - Paired Design
- Comparing Two ROC Curves - Independent Groups Design
Runs Tests (Wald-Wolfowitz Runs Test)
Sign or Quantile Test
Spearman-Rank Correlation
- Correlation
- Correlation Matrix
- Linear Regression and Correlation
- Linear Regression and Correlation (Old Version)
Wilcoxon Signed-Rank Test
- One-Sample T-Test
- One-Sample T-Test for Non-Inferiority
- One-Sample T-Test for Superiority by a Margin
- One-Sample T-Test for Equivalence
- Paired T-Test
- Paired T-Test for Non-Inferiority
- Paired T-Test for Superiority by a Margin
- Paired T-Test for Equivalence
Operations Research
- Linear Programming with Bounds
- Linear Programming with Tableau
- Mixed Integer Programming
- Quadratic Programming
- Assignment
- Maximum Flow
- Minimum Cost Capacitated Flow
- Minimum Spanning Tree
- Shortest Route
- Transportation
- Transshipment
Proportions
One Proportion
- One Proportion
- One Proportion - Non-Inferiority Tests
- One Proportion - Superiority by a Margin Tests
- One Proportion - Equivalence Tests
- Group-Sequential Analysis for One Proportion
- Group-Sequential Non-Inferiority Analysis for One Proportion
- Group-Sequential Superiority by a Margin Analysis for One Proportion
Two Independent Proportions
- Two Proportions
- Two Proportions - Non-Inferiority Tests
- Two Proportions - Superiority by a Margin Tests
- Two Proportions - Equivalence Tests
- Two Proportions - Two-Sided Tests vs a Margin
- Group-Sequential Analysis for Two Proportions
- Group-Sequential Non-Inferiority Analysis for Two Proportions
- Group-Sequential Superiority by a Margin Analysis for Two Proportions
- Cluster Randomization - Create Cluster Proportions Dataset
- Cluster Randomization - Create Cluster Rates Dataset
- Meta-Analysis of Two Proportions
Two Correlated Proportions
- Two Correlated Proportions (McNemar Test)
- Two Correlated Proportions - Non-Inferiority Tests
- Two Correlated Proportions - Superiority by a Margin Tests
- Two Correlated Proportions - Equivalence Tests
- Meta-Analysis of Correlated Proportions
Multiple Proportions and Contingency Tables
- Contingency Tables (Crosstabs / Chi-Square Test)
- Frequency Tables
- Cochran's Q Test
- Loglinear Models
- Mantel-Haenszel Test
Quality Control
- X-bar and R Charts
- X-bar and s Charts
- X-bar Charts
- R Charts
- s Charts
- CUSUM Charts
- EWMA Charts
- Moving Average Charts
- Individuals and Moving Range Charts
- Levey-Jennings Charts
- P Charts
- NP Charts
- C Charts
- U Charts
- Analysis of Runs
- Capability Analysis
- Lag Plots
- Pareto Charts
- R & R Study
- Tolerance Intervals
- Acceptance Sampling for Attributes
- Operating Characteristic Curves for Acceptance Sampling for Attributes
Reference Intervals
- Reference Intervals
- Age-Specific Reference Intervals
- Robust Linear Regression (Passing-Bablok Median-Slope)
- Tolerance Intervals
Regression
Simple Linear Regression
- Linear Regression and Correlation
- Linear Regression and Correlation (Old Version)
- Box-Cox Transformation for Simple Linear Regression
- Robust Linear Regression (Passing-Bablok Median-Slope)
Multiple Regression
- Multiple Regression
- Multiple Regression - Basic
- Principal Components Regression
- Nondetects-Data Regression
- Response Surface Regression
- Ridge Regression
- Robust Regression
- Multiple Regression for Appraisal
- Multiple Regression with Serial Correlation
- Mediation Analysis
- Analysis of Covariance (ANCOVA) with Two Groups
- One-Way Analysis of Covariance (ANCOVA)
- General Linear Models (GLM) for Fixed Factors
- Multiple Regression (Old Version)
Logistic Regression
- Logistic Regression
- Conditional Logistic Regression
- Discriminant Analysis
- Probit Analysis
- Logistic Regression (Old Version)
Cox Regression
- Cox Regression
- Parametric Survival (Weibull) Regression
- Two-Sample Non-Inferiority Tests for Survival Data using Cox Regression
- Two-Sample Superiority by a Margin Tests for Survival Data using Cox Regression
- Two-Sample Equivalence Tests for Survival Data using Cox Regression
- Probit Analysis
Subset Selection
- All Possible Regressions
- Stepwise Regression
- Subset Selection in Multiple Regression
- Subset Selection in Multivariate Y Multiple Regression
- Conditional Logistic Regression
- Cox Regression
- Discriminant Analysis
- Geometric Regression
- Logistic Regression
- Negative Binomial Regression
- Poisson Regression
Count Data
- Poisson Regression
- Zero-Inflated Poisson Regression
- Negative Binomial Regression
- Zero-Inflated Negative Binomial Regression
- Geometric Regression
Nondetects Data
Survival Data
- Cox Regression
- Parametric Survival (Weibull) Regression
- Two-Sample Non-Inferiority Tests for Survival Data using Cox Regression
- Two-Sample Superiority by a Margin Tests for Survival Data using Cox Regression
- Two-Sample Equivalence Tests for Survival Data using Cox Regression
- Probit Analysis
Nonlinear Regression
- Nonlinear Regression
- General (Custom and Preset) Model Fit - Y vs One X
- Michaelis-Menten Model Fit - Y vs One X
- Polynomial Model Fit - Y vs One X
- Polynomial Model Search - Y vs One X
- Sum of Functions (of X) Model Fit - Y vs One X
- Fractional Polynomial Regression - Y vs One X
- Polynomial Model Fit - Y vs Multiple X's
- Polynomial Model Search - Y vs Multiple X's
- Harmonic Regression
- Curve Fitting - CDF
Method Comparison
Mediation Analysis
Time Series
Two-Stage Least Squares
ROC Curves
- One ROC Curve and Cutoff Analysis
- Comparing Two ROC Curves - Paired Design
- Comparing Two ROC Curves - Independent Groups Design
- ROC Curves (Old Version)
Survey Data
- Contingency Tables (Crosstabs / Chi-Square Test)
- Frequency Tables
- Cochran's Q Test
- Descriptive Statistics - Summary Tables
- Descriptive Statistics - Summary Lists
- Cluster Randomization - Create Cluster Means Dataset
- Cluster Randomization - Create Cluster Proportions Dataset
- Cluster Randomization - Create Cluster Rates Dataset
- Loglinear Models
- Item Analysis
- Data Screening
- Descriptive Statistics - Summary Tables (Old Version)
Survival Analysis / Reliability
- Cumulative Incidence
- Kaplan-Meier Curves (Logrank Tests)
- Life-Table Analysis
- Cox Regression
- Parametric Survival (Weibull) Regression
- Two-Sample Non-Inferiority Tests for Survival Data using Cox Regression
- Two-Sample Superiority by a Margin Tests for Survival Data using Cox Regression
- Two-Sample Equivalence Tests for Survival Data using Cox Regression
- Beta Distribution Fitting
- Distribution (Weibull) Fitting
- Gamma Distribution Fitting
- Group-Sequential Analysis for One Hazard Rate
- Group-Sequential Non-Inferiority Analysis for One Hazard Rate
- Group-Sequential Superiority by a Margin Analysis for One Hazard Rate
- Group-Sequential Analysis for Two Hazard Rates
- Group-Sequential Non-Inferiority Analysis for Two Hazard Rates
- Group-Sequential Superiority by a Margin Analysis for Two Hazard Rates
- Mantel-Haenszel Test
- Probit Analysis
- Tolerance Intervals
- Cluster Randomization - Create Cluster Rates Dataset
- Survival Parameter Conversion Tool
- Time Calculator
- Survival Plots
Time Series
- The Box-Jenkins Method
- ARIMA (Box-Jenkins)
- Automatic ARMA
- Theoretical ARMA
- Autocorrelations
- Cross-Correlations
- Spectral Analysis
- Decomposition Forecasting
- Exponential Smoothing - Horizontal
- Exponential Smoothing - Trend
- Exponential Smoothing - Trend / Seasonal
- Harmonic Regression
- Analysis of Runs
- Time Series Plots
T-Tests
One Sample
- One-Sample T-Test
- One-Sample T-Test for Non-Inferiority
- One-Sample T-Test for Superiority by a Margin
- One-Sample T-Test for Equivalence
- Group-Sequential Analysis for One Mean with Known Variance
- Group-Sequential Non-Inferiority Analysis for One Mean with Known Variance
- Group-Sequential Superiority by a Margin Analysis for One Mean with Known Variance
- Group-Sequential T-Tests for One Mean
- Group-Sequential Non-Inferiority T-Tests for One Mean
- Group-Sequential Superiority by a Margin T-Tests for One Mean
Paired Samples
- Paired T-Test
- Paired T-Test for Non-Inferiority
- Paired T-Test for Superiority by a Margin
- Paired T-Test for Equivalence
Two Samples
- Two-Sample T-Test
- Two-Sample T-Test from Means and SD's
- Two-Sample T-Test for Non-Inferiority
- Two-Sample T-Test for Superiority by a Margin
- Two-Sample T-Test for Equivalence
- Analysis of Covariance (ANCOVA) with Two Groups
- Box-Cox Transformation for Two or More Groups (T-Test and One-Way ANOVA)
- Group-Sequential Analysis for Two Means with Known Variances
- Group-Sequential Non-Inferiority Analysis for Two Means with Known Variances
- Group-Sequential Superiority by a Margin Analysis for Two Means with Known Variances
- Group-Sequential T-Tests for Two Means
- Group-Sequential Non-Inferiority T-Tests for Two Means
- Group-Sequential Superiority by a Margin T-Tests for Two Means
2x2 Cross-Over Designs
- Analysis of 2x2 Cross-Over Designs using T-Tests
- Analysis of 2x2 Cross-Over Designs using T-Tests for Non-Inferiority
- Analysis of 2x2 Cross-Over Designs using T-Tests for Superiority by a Margin
- Analysis of 2x2 Cross-Over Designs using T-Tests for Equivalence
Multivariate Analysis
Method Comparison
Two-Level Designs
Two-Way Tables
- Contingency Tables (Crosstabs / Chi-Square Test)
- Frequency Tables
- Cochran's Q Test
- Loglinear Models
- Mantel-Haenszel Test
Graphics
Graphics Components
Bar Charts
Bland-Altman Plots
Box Plots
- Box Plots
- Box Plots (2 Factors)
- Combo Charts
- Combo Charts (2 Factors)
- Violin Plots
- Violin Plots (2 Factors)
Circular Data Plots
Circular Histograms
Rose Plots
Pie Charts
Contour Plots
Curve Fitting
- Introduction to Curve Fitting
- General (Custom and Preset) Model Fit - Y vs One X
- Michaelis-Menten Model Fit - Y vs One X
- Polynomial Model Fit - Y vs One X
- Curve Fitting - CDF
- Scatter Plot Matrix for Curve Fitting
- Function Plots
Dendrograms
Density Plots
- Density Plots
- Density Plots (2 Factors)
- Combo Charts
- Combo Charts (2 Factors)
- Violin Plots
- Violin Plots (2 Factors)
Dot Plots
- Dot Plots
- Dot Plots (2 Factors)
- Combo Charts
- Combo Charts (2 Factors)
- Violin Plots
- Violin Plots (2 Factors)
Error-Bar Charts
- Error-Bar Charts
- Error-Bar Charts (2 Factors)
- Error-Bar Charts from Summary Data
- Error-Bar Charts from Summary Data (2 Factors)
- Scatter Plots with Error Bars
- Scatter Plots with Error Bars from Summary Data
- Combo Charts
- Combo Charts (2 Factors)
- Violin Plots
- Violin Plots (2 Factors)
Forecasting
Time Series Plots
Autocorrelation Plots
Cross-Correlation Plots
Data Plots
Decomposition Ratio Plots
Forecast Plots
- ARIMA (Box-Jenkins)
- Automatic ARMA
- Decomposition Forecasting
- Exponential Smoothing - Horizontal
- Exponential Smoothing - Trend
- Exponential Smoothing - Trend / Seasonal
Lag Plots
Partial Autocorrelation Plots
Periodograms
Runs Charts
Serial Correlation Plots
- Linear Regression and Correlation
- Linear Regression and Correlation (Old Version)
- Multiple Regression
- Multiple Regression - Basic
- Multiple Regression with Serial Correlation
- Robust Regression
- Subset Selection in Multiple Regression
Spectrum Plots
Forest Plots
- Forest Plots
- Meta-Analysis of Two Proportions
- Meta-Analysis of Proportions (Old Version)
- Meta-Analysis of Correlated Proportions
- Meta-Analysis of Two Means
- Meta-Analysis of Means (Old Version)
- Meta-Analysis of Standardized Mean Differences
- Meta-Analysis of Hazard Ratios
Function Plots
Funnel Plots
- Meta-Analysis of Two Proportions
- Meta-Analysis of Two Means
- Meta-Analysis of Standardized Mean Differences
Heat Maps
Histograms
- Histograms
- Histograms - Comparative
- Histograms - Comparative (2 Factors)
- Combo Charts
- Combo Charts (2 Factors)
- Circular Data Analysis
- Capability Analysis
- Violin Plots
- Violin Plots (2 Factors)
Kaplan-Meier Curves (Survival)
Line Charts
Mosaic Plots
Percentile Plots
- Percentile Plots
- Percentile Plots (2 Factors)
- Combo Charts
- Combo Charts (2 Factors)
- Violin Plots
- Violin Plots (2 Factors)
Pie Charts
Probability Plots
- Normal Probability Plots
- Weibull Probability Plots
- Chi-Square Probability Plots
- Exponential Probability Plots
- Gamma Probability Plots
- Half-Normal Probability Plots
- Log-Normal Probability Plots
- Uniform Probability Plots
- Probability Plot Comparison
Quality Control Charts
- X-bar and R Charts
- X-bar and s Charts
- X-bar Charts
- R Charts
- s Charts
- CUSUM Charts
- Moving Average Charts
- EWMA Charts
- Individuals and Moving Range Charts
- Levey-Jennings Charts
- P Charts
- NP Charts
- C Charts
- U Charts
- Lag Plots
- Pareto Charts
- Capability Analysis
- Analysis of Runs
ROC Curves
- One ROC Curve and Cutoff Analysis
- Comparing Two ROC Curves - Paired Design
- Comparing Two ROC Curves - Independent Groups Design
- ROC Curves (Old Version)
Scatter Plots
- Scatter Plots
- 3D Scatter Plots
- Scatter Plots with Error Bars
- Scatter Plots with Error Bars from Summary Data
- Scatter Plot Matrix
- Scatter Plot Matrix for Curve Fitting
- Lag Plots
Stem-and-Leaf Plots
Surface Plots
Time Series
Time Series Plots
Autocorrelation Plots
Cross-Correlation Plots
Data Plots
Decomposition Ratio Plots
Forecast Plots
- ARIMA (Box-Jenkins)
- Automatic ARMA
- Decomposition Forecasting
- Exponential Smoothing - Horizontal
- Exponential Smoothing - Trend
- Exponential Smoothing - Trend / Seasonal
Lag Plots
Partial Autocorrelation Plots
Periodograms
Runs Charts
Serial Correlation Plots
- Linear Regression and Correlation
- Linear Regression and Correlation (Old Version)
- Multiple Regression
- Multiple Regression - Basic
- Multiple Regression with Serial Correlation
- Robust Regression
- Subset Selection in Multiple Regression
Spectrum Plots
Violin Plots
3D Plots
- 3D Scatter Plots
- 3D Surface Plots
- 3D Bar Charts
- 3D Bar Charts (2 Factors)
- 3D Line Charts
- 3D Line Charts (2 Factors)
Tools
Calculators
- Probability Calculator
- Chi-Square Effect Size Calculator
- Odds Ratio and Proportions Calculator
- Standard Deviation Calculator
- Survival Parameter Conversion Tool
Data
Box-Cox Transformation
- Box-Cox Transformation
- Box-Cox Transformation for Two or More Groups (T-Test and One-Way ANOVA)
- Box-Cox Transformation for Simple Linear Regression
Data Entry and Search Tool
Data List
Data Screening
Grubbs' Outlier Test
Data Simulation
Data Matching and Stratification
Descriptive Statistics - Summary Lists
Summarize Cluster-Randomized Data
- Cluster Randomization - Create Cluster Means Dataset
- Cluster Randomization - Create Cluster Proportions Dataset
- Cluster Randomization - Create Cluster Rates Dataset
Time Calculator
Dataset Random Sampling
- Simple Random Sampling
- Stratified Random Sampling
- Simple Random Sampling with Group Assignment
- Stratified Random Sampling with Group Assignment
