Introductory Statistics: Basic Definitions – Dr. Julia Sharp

March 17, 2016


If dairy producers rely on you for advice on how to apply research results to their dairy operation, this video series is for you. Join Dr. Julia Sharp from Clemson University, as she teaches this short course in Introductory Statistics, to help you build the necessary skill set to determine the validity of different research methods and results. Her first segment will cover basic definitions, including the variations on randomized study design.

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Dr. Julia Sharp

Associate Professor of Applied Statistics, Mathematical Sciences Department
Clemson University

Julia Sharp, is an Associate Professor of Applied Statistics in the Department of Mathematical Sciences at Clemson University. She has more than seven years of experience working with data collection, management, and analyses across a variety of disciplines, including horticulture, food science and nutrition, computer science, biological sciences, and engineering. Dr. Sharp is a trained applied statistician, with expertise in the areas of experimental design and analysis, longitudinal data analyses, and generalized linear mixed models.


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