Statistix offers powerful data manipulation tools, import/export support for Excel and text files, linear models (including linear regression, logistic regression, Poisson regression, and ANOVA), nonlinear regression, nonparametric tests, time series, association tests, survival analysis, quality control, power analysis, and more.

Statistix is a powerful statistical analysis program you can use to quickly analyze your data. This incredibly easy-to-use program offers the basic and advanced statistics you want – plus powerful data manipulation tools – at one affordable price.

Easy to Learn and Use
Completely menu-driven, procedures are specified using concise Windows-style dialog boxes.

Reliable
Developed in 1985, Statistix has more than 40,000 users. It’s an accurate, proven program with favorable press reviews.
“Statistix is computationally robust. I’m happy to recommend this package.”

– The Professional Statistician

Comprehensive
Statistix performs all the basic and advanced statistics needed by most users.
“Statistix gives the user easy access to all the common tools of data analysis as well as many less common ones.”

– Chance Magazine

Fast
Computes lightening fast. No time consuming disk access needed. Data are memory resident.
“Statistix is fast, very fast.”

– The American Statistician

Statistical Analysis
Procedures are organized in the Statistics menu below.

Summary Statistics
- Descriptive Statistics
- Frequency Distribution
- Cross Tabulation
- Breakdown
- Stem and Leaf Plot
- Percentiles
Summary Plots
- Histogram
- Dot Plot
- Error Bar Chart
- Pie Chart
- Box and Whisker Plot
- Quantile Plot
- Q-Q Plot
- Scatter Plot
- Scatter Plot Matrix
- Coplot
One, Two, and Multi-Sample Tests
- One-sample T Test
- Paired T Test
- Sign Test
- Wilcoxon Signed Rank Test
- Two-sample T Test
- Wilcoxon Rank Sum Test
- Median Test
- One-way AOV
- Kruskal-Wallis One-way AOV
- Friedman Two-way AOV
Hypothesis Tests
- One Proportion
- Two Proportions
- One Mean
- Two Means
- One Correlation
- Two Correlations
Linear Models
- Correlations
- Partial Correlations
- Variance-Covariance
- Linear Regression
- Best Subset Regressions
- Stepwise Linear Regression
- Logistic Regression
- Stepwise Logistic Regression
- Poisson Regression
- Two Stage Least Squares Regression
- Eigenvalues-Principal Components
Analysis of Variance
- Completely Randomized Design
- Randomized Complete Block Design
- Latin Square Design
- Balanced Lattice Design
- Factorial Design
- Split-Plot Design
- Strip-Plot Design
- Split-Split-Plot Design
- Strip-Split-Plot Design
- Repeated Measures Design
- General AOV/AOCV
Nonlinear Models
- Spline Interpolation
- Polynomial Regression
- Nonlinear Regression
- Loess
Association Tests
- Multinomial Test
- Chi-Square Test
- Kolmogorov-Smirnov Test
- McNemar’s Symmetry Test
- Two By Two Tables
- Log-Linear Models
- Spearman Rank Correlations
Randomness/Normality Tests
- Runs Test
- Shapiro-Wilk Normality Test
- Normal Probability Plot
Time Series
- Time Series Plot
- Autocorrelation
- Partial Autocorrelation
- Cross Correlation
- Moving Averages
- Exponential Smoothing
- ARIMA
Quality Control
- Pareto Chart
- P Chart
- Np Chart
- C Chart
- U Chart
- X Bar Chart
- R Chart
- S Chart
- I Chart
- MR Chart
- EWMA Chart
Survival Analysis
- Kaplan-Meier
- Two-Sample Survival Tests
- Multi-Sample Survival Tests
- Mantel-Haenzel Test
- Proportional Hazards Regression
Power Analysis
- One-Sample/Paired T Test
- Two-Sample T Test
- One-Way AOV
- Randomized Complete Block Design
- Latin Square Design
- Factorial Design
- Factorial in Blocks
- Split-Plot Design
- Strip-Plot Design
- Split-Split-Plot Design
- Repeated Measures Design
- One Proportion
- Two Proportions
- One Correlation
- Two Correlations
- Linear Regression
- Logistic Regression
Probability Functions
- Beta Probability Distribution
- Chi-Square Probability Distribution
- Inverse of the Chi-Square Distribution
- Correlation Coefficient Distribution
- F Probability Distribution
- Inverse of the F-Distribution
- Hypergeometric Probability Distribution
- Negative Binomial Probability Distribution
- Poisson Probability Distribution
- Student’s T-Distribution
- Inverse of the Student’s T-Distribution
- Standard Normal Distribution
- Inverse of the Standard Normal Distribution

Powerful Data Manipulation

Powerful transformations procedure for modifying and creating variables using algebraic expressions, over 60 built-in functions, and if-then-else constructs.
Import/export Excel files (xls and xlsx formats) and text files (tab-separated, comma-separated, formatted).
Spreadsheet editor handles 1000 variables and one million cases.
Flexible data types include real, integer, date, and string variables.
Create data subsets using the Omit Cases command.
Merge, sort, stack/unstack, transpose, variable labels, and value labels.

Fully-integrated Plots

Wide range of customizable, publication-quality plots. Export graphs using EMF, WMF, BMP, JPG, GIF, and PNG file formats, and copy and paste graphs into your wordprocessor.

Free Unlimited Technical Support
You receive immediate direct access to our programmers. Contact us by telephone, fax, mail, or e-mail.

Documentation
Our 450-page PDF user’s manual is clear and concise with easy-to-follow examples and references. Complete on-line context-sensitive help.