NCSS: Statistical Analysis and Graphics Procedures

Following is a comprehensive list of all statistical and graphics procedures that are available in the latest release of NCSS. If you would like to see full details on a procedure, we suggest that you download the trial version and look at the Help file.

Accelerated Life Testing
All-Possible Regression Search
Analysis of Covariance
Analysis of Variance
Appraisal Models
Area Under the Curve
ARIMA / Box - Jenkins
Balanced Incomplete Block Designs
Bar Charts
Barlett Variance Test
Beta Distribution Fitting
Binary Diagnostic Tests
Bioequivalence tests
Bootstrap Confidence Intervals
Box Plots
Box-Behnken Designs
C, P, NP, U Charts (QC)
Canonical Correlation
Capability Analysis (QC)
Case-Control
Central Composite Designs
Chi-Square Test
Circular Data Analysis
Clustering - Hierarchical
Clustering - Kmeans
Comparables - (Real Estate Appraisal)
Comparative Histograms
Confidence Limits
Contingency Table Analysis
Contour Plot
Correlated Proportions
Correlation Matrices
Correspondence Analysis
Cox Regression
Cross-Correlations
Cross-Over Design Analysis
Cross Tabulation
Cumulative Incidence Analysis
Curve Fitting: Built-In Models
Curve Fitting: Model Searching
Curve Fitting: Ratio of Polynomials
Curve Fitting: User-Specified Models
Cusum Chart (QC)
Data Matching - Optimal and Greedy
Data Merge
Data Screening
Data Simulator
Data Stratification
Descriptive Statistics
Design Generator
Design of Experiments
Discriminant Analysis
Distribution Regression
D-Optimal Designs
Dot Plots
Double Dendrograms
Elapsed Time Calculator
Equivalence Tests
Error Bar Charts
EWMA Chart (QC)
Exact Tests - Proportions
Exponential Smoothing
Extreme Value Fitting
Extreme Value Regression
Factor Analysis
Factorial Design Analysis
Farrington-Manning Proportions
Feedback Model - Real Estate Appraisal
Fisher's Exact Test
Forecasting
Fractional Factorial Designs
Freidman’s Test
Frequency Distributions
Gage R and R
Gamma Fitting
Gart-Nam Proportions
Geisser-Greenhouse Correction
General Linear Models
Greedy Data Matching
Harmonic Analysis
Hazard Functions/Rates
Histograms
Holt - Winters Forecasting
Hotelling’s T-Squared
Hybrid Appraisal Models
If-Then Transformations
Individuals Chart (QC)
Item Analysis
Item Response Analysis
Kaplan-Meier Survival Analysis
Latin Square Designs
Levey-Jennings Chart
Life-Table Analysis
Linear Programming
Linear Regression

Logistic Regression
Loglinear Models Lognormal Fitting
Lognormal Regression
Log-Rank Survival Tests
Longitudinal Mixed Models
MANOVA
Mann-Whitney Test
Mantel-Haenszel Test
Matched Case-Control
Matching (Data)
McNemar Test
Merging Two Databases
Meta-Analysis
Mixed Models
Moving Average Chart (QC)
Multidimensional Scaling
Multinomial Logistic Regression
Multiple Comparison Tests
Multiple Regression
Multiple Regression with Serial Corr.
Multivariate Analysis
Multi-Way Tables
Nondetects Analysis
Nondetects Regression
Nonlinear Regression
Nonparametric Tests
Normality Tests
Odds Ratio Analysis
One-Sample T-Tests
One-Way ANOVA
Optimal Data Matching
Orthogonal Regression
Paired T-Tests
Parametric Survival Regression
Pareto Chart (QC)
Percentile Plots
Pie Charts
Placket-Burman Designs
Plots of Means
Poisson Regression
Power Calculations
Principal Components Analysis
Principal Components Regression
Probability Calculator
Probability Plots
Probit Analysis
Propensity Score Matching
Propensity Score Stratification
Proportion Tests
Proportional-Hazards Regression
Quality Control
R and R Study
Randomization Tests
Regression Analysis
Reliability Distribution Fitting
Repeated Measures ANOVA
Response Surface Designs
Response Surface Regression
Ridge Regression
Robust Regression
ROC Curves
Rose Plots
Sales Ratio Reports
Scatter Plots
Scatter Plot Matrices
Score Test - Proportions
Screening Designs
Seasonal Analysis
Simulator
Spearman's Correlations
Spectral Analysis
Stepwise Regression
Stratification of Data
Surface Plots
Survival Analysis
Tables of Means, Etc.
Taguchi Designs
Time Calculator
Time Series Analysis
Tolerance Intervals
Trend Analysis
Trimmed Means
T-Tests
T-Tests directly from Means and SD's
Two-Sample T-Tests
Variable Selection
Violin Plots
Weibull Fitting
Weibull Regression
Westgard Rules
Wilson’s Score - Proportions
Within-Subjects Design and Analysis
Wilcoxon Test
Xbar-R Chart (QC)

Download a 7-day Trial Copy of NCSS 2007

Place an Order Using Our Secure Online Order Form

NCSS 2007

NCSS 2007 is now available. This version adds several new procedures and features to NCSS, including mixed models, macros, and an enhanced user interface. Here is a summary of the new procedures, tools, and features:

Read about what’s new in
NCSS 2007.

Procedures
Mixed Models
Circular Data Analysis
Data Matching - Optimal and
Greedy
Data Simulator
Data Stratification
Double Dendrograms
Merging Two Databases
Multiple Regression with Serial
Correlation Correction
Nondetects Analysis
Nondetects Regression

Tools
Macros (Programmability)
Color Selection Windows
Quick Launch Window

Features
Enhanced User Interface
Improved Help System

Download an
NCSS Update

Most Recent Version:
NCSS 2007
Version 07.1.21
Released June 1, 2011

What problems have been fixed by recent NCSS updates?

Sample NCSS Reports

Click here for the complete list.

Analysis of Variance
Appraisal Methods
Binary Diagnostic Tests
Charts and Graphs
Cross Tabulation
Curve Fitting
Descriptive Statistics
Design of Experiments
Forecasting
General Linear Models
Meta-Analysis
Multivariate I
Multivariate II
Proportions
Quality Control
Regression Analysis
Reliability Analysis
Repeated Measures
ROC Curves
Survival Analysis
Time Series Analysis
T-Tests

Recent Articles Published Using NCSS

Comments from
NCSS Users

"In the seventeen years I have been teaching I have used several different statistical software packages. None have been easier to learn and operate than NCSS for Windows. The help file is particularly complete and makes interpretation of the output straight forward—even when you can’t remember what a particular item means."

- Dr. Bill Bigg
Humboldt State University
Forestry Department

"For more than ten years, we have watched NCSS evolve into a most user friendly and powerful statistical system. We find that NCSS is easy to use and, for those with a math phobia, it does the job with minimal instruction. Tutorials are outstanding. Anybody in higher education who needs statistical software could do well to view NCSS. I personally feel it is the best buy on the market."

- Dr. Chet McCall
Pepperdine University
School of Education and Psychology


Minimum System Requirements Click on one of the links below to view the minimum system requirements for NCSS and PASS products: PASS 11 PASS 2008 NCSS 2007 Previous Versions	Accuracy We at NCSS have put a great deal of effort into finding the most accurate algorithms possible. The programs have been tested and verified over and over, both by us and by our customers. Each routine has been verified against textbooks, journal articles, and, where possible, other software. NCSS and PASS are some of the most accurate statistical analysis programs available. NCSS and PASS calculate with seventeen-digit, double-precision accuracy.	Guarantee If you are not completely satisfied with an NCSS product during the first 30 days for any reason, return the program for a full, prompt refund (excluding shipping).

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