April 22, 2016
Check out this next video segment from Dr. Julie Sharp from the Clemson University as she wraps up her series on Introductory Statistics.
What you will learn?
– What is a hypothesis test?
– What are the steps involved in a hypothesis test?
– What are the types of errors that could be made in a hypothesis test?
– What is a level of significance?
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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