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NCSS provides the right tools for all statistical applications!

Looking for an allrounder in statistics? With NCSS your search has an end. No matter if you are interested in descriptive statistics, regression analysis, test on means, design of experiments (DoE) or statistical process control (SPC), NCSS has all you need. Optimize your products using DoE, generate forecasts for time-series or use the cluster algorithms of NCSS to perform data mining. Even modelling of survival times via Kaplan-Meier is no problem at all.

With all those features the user-friendly interface helps you to see the larger picture - and the right procedure - at any time!

Why NCSS?:

  • Comprehensive set of statistical methods
  • Simple data visualization
  • Complete help, documentation and training-videos

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NCSS - Statistical Analysis System

Comprehensive, Easy to Use, Statistical Software running under Windows 8, Windows 7, Vista, XP (32-bit and 64-bit). NCSS software provides a complete and easy-to-use collection of hundreds of statistical and graphics tools to analyze and visualize your data. From using NCSS you will benefit in several ways:

  • Comprehensive and accurate.
  • Inexpensive
  • Includes over 150 statistical and graphical tools.
  • Easy to learn and use.
  • Fully compatible to 32-bit and 32-bit versions of Windows XP/Vista, Windows 7, 8 and Windows 10!
  • Imports/exports major spreadsheet, database, and statistical file formats.
  • Sharp, flexible graphics.
  • NCSS output is easily transferred to popular word processors and presentation software such as PowerPoint.
  • Processes large data files (over 1,000 variables and 200,000 rows)

Discover NCSS


Analysis Using NCSS
With a few easy steps you can obtain meaningful numeric results and clean, clear graphics. Use the Data window to import or enter your data. Open an NCSS procedure for your desired analysis. Select the columns and run the analysis to obtain accurate and easy-to-read numeric output and graphics.

How to run an analyse in NCSS

NCSS supports a wide selection of data formats and has excellent import, filtering and transformation methods for great datamanagement

Intuitive Data Management
NCSS readily imports all major types of data files; or you can copy-and-paste your data, or enter your data directly. NCSS has excellent filtering and transformation features for managing your data.


Choosing A Procedure
Finding the right analysis or graphics procedure is easy using the drop-down menu, the procedure search, or the category tree.

With NCSS it is easy to choose the right procedure for your analysis

Thanks to the build-in help and the easy accessable tools, NCSS is a userfriendly statistical software.

Easy Analysis Set-up
The analysis and graphics tools are easy to use and have built-in help messages for every option. Select the columns to be analyzed, choose the desired reports and plots, and click Run to obtain your results.


Elegant Plot Design
There are over 80 plots available in NCSS. Some plots are part of a general analysis procedure such as analysis of variance or regression, while other plots are standalone tools. All NCSS plots are highly customizable. Users are given control of the layout, symbols, titles, legend, axes, grid lines, and more. Plot settings are easily saved for future use or for sharing.

NCSS plots are highly customizable and elegant at the same time

NCSS provides plots, charts and outputs who are immediately ready to us for presentations

Ready-to-Use Output
When an NCSS procedure is run, the analysis results and the desired plots are displayed in the output window. All graphics can be clicked to be shown in a separate window for viewing or saving. Navigation of the output is easy with the output navigation tree. The output and graphics are ready to be viewed, copied and pasted, or saved. Multiple output runs can be sent to the output gallery for saving or for comparing analyses.


Further Information:

  • NCSS Home on the NCSS Statistical Software Homepage

Minimum System Requirements for NCSS

These are the computer requirements in order to run NCSS 12 Statistical Analysis Software:

  • Processor:
    • 450 MHz or faster processor
    • 32-bit (x86) or 64-bit (x64) processor
  • RAM:
    • 256 MB (512 MB recommended)
  • Operating Systems:
    • Windows XP with Service Pack 2 or higher
    • Windows Vista
    • Windows 7
    • Windows 8 and 8.1
    • Windows 10 or later
    • Windows Server 2003
    • Windows Server 2008
    • Windows Server 2008 R2
    • Windows Server 2012
    • Windows Server 2012 R2 or later
  • Privileges:
    • Administrative rights required during installation only
  • Third Party Software:
    • Microsoft .NET 3.5 SP1 (included with NCSS CD, comes pre-installed with Windows 7 and Windows Server 2008 R2, feature activation required on Windows 8, 8.1, 10 and Windows Server 2012 and 2012 R2)
    • Microsoft Windows Installer 3.1 or higher
    • Adobe Reader® 7 or higher (required for the Help System only)
  • Hard Disk Space:
    • 160 MB for NCSS (plus space for Microsoft .NET 3.5 SP1 if not already installed)
  • Printer:
    • Any Windows-compatible inkjet or laser printer

 

NCSS for MAC OS X

For installing and using NCSS on Mac OS X a Windows emulator, like Parallels, is requiered!

What's New in NCSS?

 
With new analysis, graphics, and data tools, NCSS is more powerful and easier to use than ever before! This new version includes
  • Group-Sequential Analysis for Hazard Rates, Means, and Proportions (Superiority and Non-Inferiority)
  • Simple and Stratified Dataset Random Sampling Tools
  • At-Risk Tables Added to Applicable Plots in All Survival/Reliability Procedures
  • Heatmaps Added to Factor Analysis and PCA Procedures
 
  • Tukey-Pairwise and Dunnett’s Many-to-One (Control) Multiple Comparisons Tests for Proportions Added to Contingency Tables (Crosstabs / Chi-Square Test)
  • Block Randomization and Stratified Lists Added to the Randomization Lists Procedure
  • Data Window Improvements (Now Requires up to 70% Less Memory to Load the Same Amount of Data)
  • Improved Algorithms for the Standardized Range Probability Distribution
 
For the 11 new group-sequential analysis procedures in NCSS 2020, there are corresponding group-sequential power and sample-size procedures in PASS.

 

 

More Procedures

Addition of new procedures and tests:

  • Paired T-Test for Superiority by a Margin
  • One-Sample T-Test for Non-Inferiority
  • One-Sample T-Test for Superiority by a Margin
  • One-Sample T-Test for Equivalence
  • Two-Sample T-Test for Superiority by a Margin
  • Analysis of 2×2 Cross-Over Designs using T-Tests for Non-Inferiority
  • Analysis of 2×2 Cross-Over Designs using T-Tests for Superiority by a Margin
  • Analysis of 2×2 Cross-Over Designs using T-Tests for Equivalence
  • One Proportion – Non-Inferiority Tests
  • One Proportion – Superiority by a Margin Tests
  • One Proportion – Equivalence Tests
  • 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
  • Cluster Randomization – Create Cluster Means Dataset
  • Cluster Randomization – Create Cluster Proportions Dataset
  • Cluster Randomization – Create Cluster Rates Dataset
  • General Linear Models (GLM) for Fixed Factors
  • One-Way Analysis of Covariance (ANCOVA)
  • Analysis of Covariance (ANCOVA) with Two Groups
  • Clustered Heat Maps (Double Dendrograms)

Examples of new plots:

  • Clustered Heat Map (Double Dendrogram)

 

More Features

 

  • Conditional Logistic Regression
  • Multiple Regression – Basic
  • Negative Binomial Regression
  • Zero-Inflated Negative Binomial Regression
  • Zero-Inflated Poisson Regression
  • Geometric Regression
  • Fractional Polynomial Regression
  • Passing-Bablok Regression for Method Comparison
  • Robust Linear Regression (Passing-Bablok Median-Slope)
  • Logistic Regression (including confidence intervals for AUC)
  • Two-Stage Least Squares
  • Scatter Plots with Error Bars
  • Scatter Plots with Error Bars from Summary Data
  • Error-Bar Charts from Summary Data
  • Error-Bar Charts from Summary Data (2 Factors)
  • Descriptive Statistics – Summary Tables
  • Descriptive Statistics – Summary Lists
  • One ROC Curve and Cutoff Analysis
  • Comparing Two ROC Curves – Independent Groups Design
  • Comparing Two ROC Curves – Paired Design
  • Single Sample Binary Diagnostic Test Analysis
  • Correlation
  • Circular Data Correlation
  • Reference Intervals
  • Appraisal Ratio Studies
  • Comparables Appraisal
  • Hybrid Appraisal Models
  • Multiple Regression for Appraisal
  • Acceptance Sampling for Attributes
  • Operating Characteristic Curves for Acceptance Sampling for Attributes
  • Linear Programming with Bounds
  • Mixed Integer Programming
  • Quadratic Programming
  • Transportation
  • Assignment
  • Minimum Spanning Tree
  • Shortest Route
  • Maximum Flow
  • Minimum Cost Capacitated Flow
  • Transshipment
  • Dwass-Steel-Critchlow-Fligner MC Test (in the One-Way Analysis of Variance Procedure)

Enhancements

  • Data Simulation Procedure
    The Data Simulation procedure was enhanced to include a much larger selection of distributions.
  • One-Way ANOVA Residuals
    The One-Way Analysis of Variance procedure now gives the ability to store residuals.
  • Contingency Tables Table Entry
    The table entry in the Contingency Tables (Crosstabs / Chi-Square Test) procedure was improved.
  • One Proportion Data Entry
    A Database Data Entry option is now available in the One Proportion procedure.
  • Export Tool
    The Export tool now has the ability to select variables for export.
  • Output Titles
    Software version titles are given in the output.
  • Error-Bar Plots
    The error-bar plots procedures now give the options for Confidence Interval and Range.
  • Spreadsheet Controls
    The Spreadsheet controls have been updated.
  • 3D Charting
    The 3D charting control has been updated for additional processing and display speed.
  • Column Selection Tools
    The column selection tools have been dramatically enhanced.
  • Auto-Scaling of Ticks
    The Auto-Scaling of the ticks of the numeric axis of plots has been improved.
  • Filters and Missing Values in Time Series and Forecasting
    Filter and missing values options are now available in all Forecasting and Time Series procedures.
  • Procedure Menus
    The procedure menus were enhanced to be more intuitive.

Features of the software NCSS

Analysis of Variance

  • One-Way Analysis of Variance
  • Box-Cox Transformation for Two or More Groups (T-Test and One-Way ANOVA)
  • Balanced Design Analysis of Variance
  • General Linear Models (GLM)
  • Repeated Measures Analysis of Variance
  • Multivariate Analysis of Variance (MANOVA)
  • Analysis of Two-Level Designs
  • Nondetects-Data Group Comparison
  • Area Under Curve

Clustering

  • Fuzzy Clustering
  • Hierarchical Clustering / Dendrograms
  • K-Means Clustering
  • Medoid Partitioning
  • Regression Clustering

Correlation

  • Linear Regression and Correlation
  • Box-Cox Transformation for Simple Linear Regression
  • Point-Biserial and Biserial Correlations
  • Correlation Matrix
  • Canonical Correlation
  • Lin's Concordance Correlation Coefficient
  • Bland-Altman Plot and Analysis

Curve Fitting

  • Curve Fitting - General
  • Michaelis-Menten Equation
  • Ratio of Polynomials Fit - One Variable
  • Ratio of Polynomials Search - One Variable
  • Reference Intervals with a Covariate
  • Sum of Functions Models
  • Nonlinear Regression
  • Ratio of Polynomials Fit - Many Variables
  • Ratio of Polynomials Search - Many Variables
  • Function Plots
  • Scatter Plot Matrix for Curve Fitting

Descriptive Statistics

  • Descriptive Statistics
  • Descriptive Statistics - Summary Tables
  • Contingency Tables (Crosstabs / Chi-Square Test)
  • Frequency Tables
  • Box-Cox Transformation
  • Data Screening
  • Data Simulation
  • Grubbs' Outlier Test
  • Normality Tests
  • Stem-and-Leaf Plots
  • Back-to-Back Stem-and-Leaf Plots
  • Item Analysis
  • Item Response Analysis
  • Area Under Curve
  • Circular Data Analysis
  • Tolerance Intervals

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

Forecasting / Time Series

  • 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

Mass Appraisal

  • Appraisal Ratios
  • Comparables - Sales Price
  • Hybrid Appraisal Models
  • Descriptive Statistics
  • Descriptive Statistics - Summary Tables
  • Multiple Regression
  • Nonlinear Regression

Meta-Analysis

  • Meta-Analysis of Correlated Proportions
  • Meta-Analysis of Hazard Ratios
  • Meta-Analysis of Means
  • Meta-Analysis of Proportions
  • Forest Plots

Mixed Models

  • Mixed Models - General
  • Mixed Models - No Repeated Measures
  • Mixed Models - Repeated Measures
  • Mixed Models - Random Coefficients

Multivariate

  • Canonical Correlation
  • Equality of Covariance
  • Factor Analysis
  • Principal Components Analysis
  • Discriminant Analysis
  • Hotelling's One-Sample T2
  • Hotelling's Two-Sample T2
  • Multivariate Analysis of Variance (MANOVA)
  • Correspondence Analysis
  • Multidimensional Scaling

Nonparametric

  • Analysis of Runs
  • Bootstrap Confidence Intervals (One-Sample T-Test)
  • Bootstrap Confidence Intervals (Paired T-Test)
  • Bootstrap Confidence Intervals (Two-Sample T-Test)
  • Cochran's Q Test
  • Cumulative Incidence
  • Friedman's Rank Test (Balanced Design ANOVA)
  • Kaplan-Meier Curves (Logrank Tests)
  • Kolmogorov-Smirnov Test (Two-Sample T-Test)
  • Kruskal-Wallis Test (One-Way ANOVA)
  • Mann-Whitney U Test (Two-Sample T-Test)
  • Nondetects-Data Group Comparison
  • Randomization Test (One-Sample T-Test)
  • Randomization Test (Paired T-Test)
  • Randomization Test (Two-Sample T-Test)
  • ROC Curves
  • Spearman Rank Correlation (Correlation Matrix, Linear Regression and Correlation)
  • Wilcoxon Signed-Rank Test (One-Sample T-Test)
  • Wilcoxon Signed-Rank Test (Paired T-Test)

Operations Research

  • Linear Programming

Proportions

  • One Proportion
  • Two Proportions
  • Two Proportions - Non-Inferiority Tests
  • Two Proportions - Superiority Tests
  • Two Proportions - Equivalence Tests
  • Two Proportions - Two-Sided Tests vs. a Margin
  • Two Correlated Proportions (McNemar Test)
  • Two Correlated Proportions - Non-Inferiority Tests
  • Two Correlated Proportions - Superiority Tests
  • Two Correlated Proportions - Equivalence Tests
  • Contingency Tables (Crosstabs / Chi-Square Test)
  • Frequency Tables
  • Cochran's Q Test
  • Loglinear Models
  • Mantel-Haenszel Test
  • ROC Curves
  • Item Analysis
  • Item Response Analysis
  • Binary Diagnostic Tests - Single Sample
  • Binary Diagnostic Tests - Two Independent Samples
  • Binary Diagnostic Tests - Paired Samples
  • Binary Diagnostic Tests - Clustered Samples

Quality Control

  • 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
  • Capability Analysis
  • R & R Study
  • Tolerance Intervals
  • Lag Plots
  • Analysis of Runs
  • Pareto Charts

Regression

  • Linear Regression and Correlation
  • Box-Cox Transformation for Simple Linear Regression
  • Deming Regression
  • Harmonic Regression
  • Mixed Models - Random Coefficients
  • Point-Biserial and Biserial Correlations
  • Multiple Regression
  • Multiple Regression with Serial Correlation
  • Nondetects Data Regression
  • Principal Components Regression
  • Response Surface Regression
  • Ridge Regression
  • Robust Regression
  • Cox Regression
  • Parametric Survival (Weibull) Regression
  • Logistic Regression
  • Discriminant Analysis
  • Poisson Regression
  • Probit Analysis
  • Nonlinear Regression

Regression (Variable Selection)

  • All Possible Regressions
  • Stepwise Regression
  • Subset Selection in Multiple Regression
  • Subset Selection in Multivariate Y Multiple Regression
  • Cox Regression
  • Discriminant Analysis
  • Logistic Regression
  • Poisson Regression

Survival / Reliability

  • Cumulative Incidence
  • Kaplan-Meier Curves (Logrank Tests)
  • Life-Table Analysis
  • Cox Regression
  • Parametric Survival (Weibull) Regression
  • Beta Distribution Fitting
  • Distribution (Weibull) Fitting
  • Gamma Distribution Fitting
  • Mantel-Haenszel Test
  • Probit Analysis
  • Time Calculator
  • Tolerance Intervals
  • Survival Parameter Conversion Tool
  • Survival Plots

T-Tests

  • One-Sample T-Test
  • Paired T-Test
  • Paired T-Test for Non-Inferiority
  • Paired T-Test for Equivalence
  • Two-Sample T-Test
  • Two-Sample T-Test from Means and SD's
  • Box-Cox Transformation for Two or More Groups (T-Test and One-Way ANOVA)
  • Testing Non-Inferiority with Two Independent Samples
  • Testing Equivalence with Two Independent Samples
  • Bland-Altman Plot and Analysis
  • Hotelling's One-Sample T2
  • Hotelling's Two-Sample T2
  • Analysis of Two-Level Designs
  • Cross-Over Analysis Using T-Tests

Graphics Procedures

Bar Charts

  • Bar Charts
  • Bar Charts (2 Factors)
  • 3D Bar Charts
  • 3D Bar Charts (2 Factors)
  • Pareto Charts

Bland-Altman Plot

  • Bland-Altman Plot and Analysis

Box Plots

  • Box Plots
  • Box Plots (2 Factors)

Circular Data Plots

  • Circular Data Analysis (Rose Plots)
  • Pie Charts

Combo Charts

  • Combo Charts
  • Combo Charts (2 Factors)

Contour Plots

  • Contour Plots

Curve Fitting

  • Curve Fitting - General
  • Michaelis-Menten Equation
  • Function Plots
  • Scatter Plot Matrix for Curve Fitting

Dendrograms

  • Hierarchical Clustering (Dendrograms)

Density Plots

  • Density Plots
  • Density Plots (2 Factors)

Dot Plots

  • Dot Plots
  • Dot Plots (2 Factors)

Error-Bar Charts

  • Error-Bar Charts
  • Error-Bar Charts (2 Factors)

Forecasting / Time Series

  • ARIMA (Box-Jenkins)
  • Automatic ARMA
  • Theoretical ARMA
  • Autocorrelations
  • Cross-Correlations
  • Spectral Analysis
  • Decomposition Forecasting
  • Exponential Smoothing - Horizontal
  • Exponential Smoothing - Trend
  • Exponential Smoothing - Trend / Seasonal
  • Lag Plots
  • Analysis of Runs

Forest Plots

  • Meta-Analysis of Correlated Proportions
  • Meta-Analysis of Hazard Ratios
  • Meta-Analysis of Means
  • Meta-Analysis of Proportions

Function Plots

  • Function Plots

Histograms

  • Histograms
  • Comparative Histograms
  • Comparative Histograms (2 Factors)
  • Rose Plots

Kaplan-Meier Curves (Survival)

  • Kaplan-Meier Curves

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)

Pie Charts

  • Pie Charts

Probability Plots

  • Normal Probability Plots
  • Weibull Probability Plots
  • Log-Normal Probability Plots
  • Gamma Probability Plots
  • Exponential Probability Plots
  • Chi-Square Probability Plots
  • Uniform Probability Plots
  • Half-Normal 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
  • Capability Analysis
  • Lag Plots
  • Analysis of Runs
  • Pareto Charts

ROC Curves

  • ROC Curves

Scatter Plots

  • Scatter Plots
  • 3D Scatter Plots
  • 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 and Contour Plots

  • Contour Plots
  • 3D Surface Plots

3D

  • 3D Scatter Plots
  • 3D Surface Plots
  • 3D Bar Charts
  • 3D Bar Charts (2 Factors)
  • 3D Line Charts
  • 3D Line Charts (2 Factors)

Operations

  • Data Window
  • Importing Data
  • Exporting Data
  • Filters
  • Transformations
  • 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 List
  • Data Screening
  • Data Simulation
  • Merging Two Datasets
  • Data Matching - Greedy
  • Data Matching - Optimal
  • Data Stratification
  • Time Calculator

Calculators

  • Probability Calculator
  • Chi-Square Effect Size Calculator
  • Odds Ratio and Proportions Calculator
  • Standard Deviation Calculator
  • Survival Parameter Conversion Tool