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Inferential Statistics for Radiation Scientists: A Brief Guide to Better Statistical Interpretations
1University of Western Ontario, St Joseph's Health Care - Lawson Health Research Institute, London, Ontario, Canada.
Abstract:
Inferential statistics is used to help investigators make decisions about their data. This package will help novice researchers understand how to think about inferential statistics and will offer some examples of specific statistical tests. Presented here is the Monte Carlo technique, which is an interesting approach to instructing in statistics. It is used as a practical way to show why distributions are important and how it relates to the famous .05 probability criterion when declaring results significant. Also presented here is how to conduct and interpret the t-test, The F test often referred to as analysis of variance, and interaction analysis. Finally, a discussion on misinterpretations is included to help prevent making erroneous statements about statistical analysis.
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