- T-Test – Compare two mean (average) scores
- Z-Test – Compare two percentages
- Precision – Compute sample size needed for given confidence intervals
- Paired Comparisons Test – A Z-Test for preference analysis
- McNemar Test – Compare nominal, dichotomous proportions
- Power – Calculate sample size needed for statistical testing
- Chi-Square Test – Determine whether sample data differ significantly from those expected
“With Maritz Stats 3.0, Maritz Research continues to share its expertise and sound scientific practices with students, marketing researchers and the entire research community,” said Keith Chrzan, chief research officer, Maritz Research. “Maritz Stats 3.0 makes it even easier for marketing researchers to quickly test their research results without having to use a full-featured statistics package.”
Maritz Stats 3.0 can be accessed at: http://www.maritzresearch.com/insights/maritz-stats.aspx.
About Maritz Research
As one of the world’s largest marketing research firms, Maritz Research, a unit of Maritz, helps many of today’s most successful companies improve performance through a deep understanding of their customers, employees and channel partners. Founded in 1973, it offers a range of strategic and tactical solutions concentrating primarily in the automotive, financial services, hospitality, technology, telecommunications, and retail industries. The company has achieved ISO 20252 registration, the international symbol of quality. It is a member of CASRO, ESOMAR, MRA, and is the official sponsor of the American Marketing Association.
For more information, visit http://www.MaritzResearch.com, or contact us at 1-877-4MARITZ.
For the original version on PRWeb visit: http://www.prweb.com/releases/prweb2011/11/prweb9004487.htm