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statistics, data, mapping, errors, analysis


Dr. Rossi discusses the common errors that are made when fitting statistical models to data. Focuses on the planning, data analysis, and interpretation phases of a statistical analysis, and highlights the errors that are commonly made by researchers of these phases. The implications of these commonly made errors are discussed along with a discussion of the methods that can be used to prevent these errors from occurring. A prescription for carrying out a correct statistical analysis will be discussed.

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Dr. Richard Rossi is a Professor of Statistics and Head of the Department of Mathematics at Montana Tech where he teaches applied statistics, statistical modeling, and mathematical statistics courses. Dr. Rossi had authored two bookjs, Theorems, Corollaries, Lemmas and Methods of Proof and Applied Biostatistics for the Health Sciences, has served as President of the Montana Chapter of the American Statistical Association twice, and served three years as an Associate Editor for the applied statistics journal Biometrics. Dr. Rossi was the 2013 recipient of a Lifetime Distinguished Researcher Award at Montana Tech.