List of Statistical Procedures
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