A distribution of data which is not normal does not mean it is abnormal. There are many data analysis techniques which do not require the assumption of normality.
This webinar will provide information on when it is best to use nonparametric alternatives and provides information on suggested tests to use in lieu of:
- Independent samples and paired t-tests
- Analysis of variance techniques
- Pearson’s Product Moment Correlation
- Repeated measures designs
A description of nonparametric techniques for use with count data and contingency tables will also be provided.
This webinar has already taken place. You can request the recording free by completing the form below.
About the Presenter
Elaine Eisenbeisz is a private practice consultant and owner of Omega Statistics based in Southern California. She has over 20 years of experience in creating data and information solutions for governmental agencies, large corporations, start-up companies and individual researchers. In addition to her technical expertise, Elaine possesses a talent for conveying statistical concepts and results in a way that people can intuitively understand.
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