## Free Statistical Software

Decision Analyst provides three free, easy-to-use statistical software packages for Marketing Researchers:

#### Decision Analyst STATS™ Mobile

STATS™ Mobile runs on iPhones, iPads, and Android smartphones and tablets. it is free for anyone to download and use.

STATS™ Mobile includes the following calculators:

• Sample size determination
• Survey margin of error
• Difference of two means
• Difference of two percentages
• Paired-comparison test
• Descriptive statistics from uploaded data (such as mean, standard deviation, and variance)

#### Decision Analyst STATS™ Desktop

STATS™ 2.0 is free and easy-to-use statistical software for marketing researchers. It requires a Windows-based operating system to run (STATS™ 2.0 Desktop does not run on Mac computers). STATS™ 2.0 performs multiple functions, including:

• Sample size determination
• Survey margin of error
• Difference of two means
• Difference of two percentages
• Paired-comparison test
• Descriptive statistics
• Mean, standard deviation, and variance
• Random number generator
• Correlation
• Cross-tabulation
• Factor analysis
• Multiple regression
• Cluster analysis

#### Decision Analyst ChoiceModelR™

ChoiceModelR™ is an open-source software package written in R language by Decision Analyst statistical programmers. It is designed to analyze data from choice modeling experiments across a wide array of industries, based on surveys of how target market consumers react to many different marketing and product stimuli at different price points (i.e., different scenarios). ChoiceModelR™ is ideal for large datasets with complex variables. This software replicates the functionality of the best commercial choice modeling programs. The program assumes that the choice modeling experiment (the data-collection phase) has been conducted and the data are ready to analyze. The software runs within the R platform and includes the following features:

• Dependent variable may be either discrete (nominal or ordinal) or shared (continuous between zero and one).
• Constraints may be imposed on model parameters.
• Number of choice observations per decision maker (e.g., respondent) may vary.
• Number of choice alternatives per choice observation may vary.

To run ChoiceModelR™, users must have a basic understanding of choice modeling and R language, and they must download R language. Both ChoiceModelR™ and R language are open source and free.