List of Statistical Procedures
This page presents a list of the statistical, graphics, and data analysis procedures available in NCSS. For a more in-depth look at the features of a procedure, please download the free trial of NCSS. Click to see some additional details about regression analysis, comparing means, crosstabs and proportions, mass appraisal, curve fitting, time series and forecasting, clustering, quality control, or survival analysis in NCSS.
You can also see a complete list of all the statistical data analysis tools, procedures, tests, graphics and calculations available in NCSS Statistical Software.
Click here for the alphabetical list.
Click here for the categorized list. What is statistical analysis software? Jump to Category:
Click here for the alphabetical list.
Click here for the categorized list. What is statistical analysis software? Jump to Category:
- Analysis of Variance (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
Analysis Procedures
Analysis of Variance (ANOVA)
Click here to see additional details about comparing means in NCSS.- 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
Click here to see additional details about appraisal in NCSS.- 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
Click here to see additional details about cluster analysis in NCSS.- Fuzzy Clustering
- Hierarchical Clustering / Dendrograms
- K-Means Clustering
- Medoid Partitioning
- Regression Clustering
- Clustered Heat Maps (Double Dendrograms)
Correlation
Click here to see additional details about correlation in NCSS.Correlation (Pearson, Spearman, Kendall's Tau)
- Correlation
Correlation and Linear Regression
- Linear Regression and Correlation
- Linear Regression and Correlation (Old Version)
Correlation Matrix
- Correlation Matrix
Point-Biserial and Biserial Correlations
- Point-Biserial and Biserial Correlations
Box-Cox Transformation for Simple Linear Regression
- Box-Cox Transformation for Simple Linear Regression
Canonical Correlation
- Canonical Correlation
Cronbach's Alpha in Item Analysis
- Item Analysis
Bland-Altman Plot and Analysis
- Bland-Altman Plot and Analysis
Lin's Concordance Correlation Coefficient
- Lin's Concordance Correlation Coefficient
Circular Data Correlation
- Circular Data Correlation
Curve Fitting
Click here to see additional details about curve fitting in NCSS.- Curve Fitting - General
- Curve Fitting - CDF
- Michaelis-Menten Equation
- Fractional Polynomial Regression
- Ratio of Polynomials Fit - One Variable
- Ratio of Polynomials Search - One Variable
- Sum of Functions Models
- Reference Intervals - Age-Specific
- Nonlinear Regression
- Ratio of Polynomials Fit - Many Variables
- Ratio of Polynomials Search - Many Variables
- Function Plots
- Scatter Plot Matrix for Curve Fitting
Descriptive Statistics
Click here to see additional details about descriptive statistics in NCSS.- 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
Click here to see additional details about design of experiments in NCSS.- 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
Click here to see additional details about diagnostic tests in NCSS.- 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
Click here to see additional details about distribution fitting in NCSS.Beta Distribution Fitting
- Beta Distribution Fitting
Distribution (Weibull) Fitting
- Distribution (Weibull) Fitting
Gamma Distribution Fitting
- Gamma Distribution Fitting
Grubbs' Outlier Test
- Grubbs' Outlier Test
Normality Test
- Normality Tests
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
Click here to see additional details about time series and forecasting in NCSS.- 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
Group-Sequential
Click here to see additional details about group-sequential analysis in NCSS.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
Click here to see additional details about item analysis in NCSS.- Item Analysis
- Item Response Analysis
Meta-Analysis
Click here to see additional details about meta-analysis in NCSS.- 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
Method Comparison
Click here to see additional details about method comparison in NCSS.- 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
Click here to see additional details about mixed models in NCSS.- Mixed Models - General
- Mixed Models - No Repeated Measures
- Mixed Models - Repeated Measures
- Mixed Models - Random Coefficients
Multivariate Analysis
Click here to see additional details about multivariate analysis in NCSS.- 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
Click here to see additional details about nondetects data analysis in NCSS.- Nondetects-Data Group Comparison
- Nondetects-Data Regression
Nonparametric
Click here to see additional details about nonparametric data analysis in NCSS.Cochran's Q Test
- Cochran's Q Test
Conover Equal Variance Test
- One-Way Analysis of Variance
Cumulative Incidence Curves
- Cumulative Incidence
Dunn's Test
- One-Way Analysis of Variance
Dwass-Steel-Critchlow-Fligner Test
- One-Way Analysis of Variance
Friedman's Rank Test
- Balanced Design Analysis of Variance
Kaplan-Meier Curves
- Kaplan-Meier Curves (Logrank Tests)
Kendall's Tau Correlation
- Correlation
- Contingency Tables (Crosstabs / Chi-Square Test)
Kolmogorov-Smirnov Test
- Two-Sample T-Test
- Descriptive Statistics
- Normality Tests
- Tolerance Intervals
Kruskal-Wallis Test
- One-Way Analysis of Variance
Logrank Test
- Kaplan-Meier Curves (Logrank Tests)
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
- 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)
- Curve Fitting - General
- Curve Fitting - CDF
- Michaelis-Menten Equation
- 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)
- Analysis of Runs
Sign or Quantile Test
- One-Sample T-Test
- Paired T-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
Click here to see additional details about operations research in NCSS.- 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
Click here to see additional details about analysis of proportions and two-way tables in NCSS.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
Click here to see additional details about quality control in NCSS.- 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
Click here to see additional details about reference intervals in NCSS.- Reference Intervals
- Reference Intervals - Age-Specific
- Robust Linear Regression (Passing-Bablok Median-Slope)
- Tolerance Intervals
Regression
Click here to see additional details about regression in NCSS.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
- Nondetects-Data Regression
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
- Curve Fitting - General
- Curve Fitting - CDF
- Michaelis-Menten Equation
- Sum of Functions Models
- Fractional Polynomial Regression
- Ratio of Polynomials Fit - One Variable
- Ratio of Polynomials Search - One Variable
- Harmonic Regression
- Ratio of Polynomials Fit - Many Variables
- Ratio of Polynomials Search - Many Variables
Method Comparison
- Deming Regression
- Passing-Bablok Regression for Method Comparison
Mediation Analysis
- Mediation Analysis
Time Series
- Multiple Regression with Serial Correlation
- Harmonic Regression
Two-Stage Least Squares
- Two-Stage Least Squares
ROC Curves
Click here to see additional details about ROC curves in NCSS.- 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
Click here to see additional details about survey data analysis in NCSS.- 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
Time Series
Click here to see additional details about time series and forecasting in NCSS.- 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
T-Tests
Click here to see additional details about comparing means in NCSS.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
- Hotelling's One-Sample T2
- Hotelling's Two-Sample T2
Method Comparison
- Bland-Altman Plot and Analysis
Two-Level Designs
- Analysis of Two-Level Designs
Two-Way Tables
Click here to see additional details about analysis of proportions and two-way tables in NCSS.- Contingency Tables (Crosstabs / Chi-Square Test)
- Frequency Tables
- Cochran's Q Test
- Loglinear Models
- Mantel-Haenszel Test
Graphics Procedures
Click here to see additional details and samples of the graphs and plots that are available in NCSS.Bar Charts
- Bar Charts
- Bar Charts (2 Factors)
- 3D Bar Charts
- 3D Bar Charts (2 Factors)
- Pareto Charts
Bland-Altman Plots
- Bland-Altman Plot and Analysis
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
- Circular Data Analysis
Rose Plots
- Circular Data Analysis
Pie Charts
- Pie Charts
Contour Plots
- Contour Plots
- 3D Surface Plots
- Response Surface Regression
Curve Fitting
Click here to see additional details about curve fitting in NCSS.- Curve Fitting - General
- Curve Fitting - CDF
- Michaelis-Menten Equation
- Scatter Plot Matrix for Curve Fitting
- Function Plots
Dendrograms
- Hierarchical Clustering / Dendrograms
- Clustered Heat Maps (Double 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
Click here to see additional details about time series and forecasting in NCSS.Autocorrelation Plots
- Autocorrelations
- ARIMA (Box-Jenkins)
- Automatic ARMA
- Theoretical ARMA
Cross-Correlation Plots
- Cross-Correlations
Data Plots
- Autocorrelations
- Cross-Correlations
- Spectral Analysis
- Theoretical ARMA
Decomposition Ratio Plots
- Decomposition Forecasting
Forecast Plots
- ARIMA (Box-Jenkins)
- Automatic ARMA
- Decomposition Forecasting
- Exponential Smoothing - Horizontal
- Exponential Smoothing - Trend
- Exponential Smoothing - Trend / Seasonal
Lag Plots
- Lag Plots
Partial Autocorrelation Plots
- Autocorrelations
Periodograms
- Spectral Analysis
Runs Charts
- Analysis of Runs
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
- Spectral Analysis
- Theoretical ARMA
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
- Function Plots
Funnel Plots
- Meta-Analysis of Two Proportions
- Meta-Analysis of Two Means
- Meta-Analysis of Standardized Mean Differences
Heat Maps
- Clustered Heat Maps (Double Dendrograms)
- Correlation Matrix
- 3D Surface Plots
- Contour Plots
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)
Click here to see additional details about survival analysis and reliability in NCSS.- Kaplan-Meier Curves (Logrank Tests)
Line Charts
- Line Charts
- Line Charts (2 Factors)
- 3D Line Charts
- 3D Line Charts (2 Factors)
Mosaic Plots
- Mosaic Plots
Percentile Plots
- Percentile Plots
- Percentile Plots (2 Factors)
- Combo Charts
- Combo Charts (2 Factors)
- Violin Plots
- Violin Plots (2 Factors)
Pie Charts
- 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
Click here to see additional details about quality control in NCSS.- 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
Click here to see additional details about ROC curves in NCSS.- 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
- Stem-and-Leaf Plots
- Back-to-Back Stem-and-Leaf Plots
Surface Plots
- 3D Surface Plots
- Contour Plots
- Response Surface Regression
Time Series
Click here to see additional details about time series and forecasting in NCSS.Autocorrelation Plots
- Autocorrelations
- ARIMA (Box-Jenkins)
- Automatic ARMA
- Theoretical ARMA
Cross-Correlation Plots
- Cross-Correlations
Data Plots
- Autocorrelations
- Cross-Correlations
- Spectral Analysis
- Theoretical ARMA
Decomposition Ratio Plots
- Decomposition Forecasting
Forecast Plots
- ARIMA (Box-Jenkins)
- Automatic ARMA
- Decomposition Forecasting
- Exponential Smoothing - Horizontal
- Exponential Smoothing - Trend
- Exponential Smoothing - Trend / Seasonal
Lag Plots
- Lag Plots
Partial Autocorrelation Plots
- Autocorrelations
Periodograms
- Spectral Analysis
Runs Charts
- Analysis of Runs
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
- Spectral Analysis
- Theoretical ARMA
Violin Plots
- Violin Plots
- Violin Plots (2 Factors)
3D Plots
- 3D Scatter Plots
- 3D Surface Plots
- 3D Bar Charts
- 3D Bar Charts (2 Factors)
- 3D Line Charts
- 3D Line Charts (2 Factors)
Data Operations and Procedures
Operations
- Data Window
- Importing Data
- Exporting Data
- Exporting Data to R
- Filters
- Transformations
- Data Entry and Search
- Stacking Data
- Unstacking Data
- Creating Contrast Variables
Procedures
- 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 - Greedy
- Data Matching - Optimal
- Data Stratification
- Descriptive Statistics - Summary Lists
- Cluster Randomization - Create Cluster Means Dataset
- Cluster Randomization - Create Cluster Proportions Dataset
- Cluster Randomization - Create Cluster Rates Dataset
- Time Calculator
- Simple Random Sampling
- Stratified Random Sampling
- Simple Random Sampling with Group Assignment
- Stratified Random Sampling with Group Assignment
- Randomization Lists
- Merging Two Datasets
- Exporting Data to R
Tools
Calculators
- Probability Calculator
- Chi-Square Effect Size Calculator
- Odds Ratio and Proportions Calculator
- Standard Deviation Calculator
- Survival Parameter Conversion Tool
Macros
- Macros