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Understand the basic procedures for the P-value approach to hypothesis testing. Upon completion of this review of basic statistical concepts, you should be able to do the following: If the P-value approach is new to you, you might have to spend a little more time on this lesson than if not. It is important that you understand both approaches. hypothesis testing procedures, including the critical value approach and the P-value approach,įor instance, with regards to hypothesis testing, some of you may have learned only one approach - some the P-value approach, and some the critical value approach.confidence intervals and their interpretation,.populations and parameters and how they differ from samples and statistics,.These review materials are intended to provide a review of key statistical concepts and procedures. Courses such as STAT 501 - Regression Methods or STAT 502 - Analysis of Variance and Design of Experiments require and build from this foundation.
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Students that do not possess a firm understanding of these basic concepts will struggle to participate successfully in any of the graduate level courses above STAT 500. Therefore, it is imperative - after you study and work through this lesson - that you thoroughly understand all the material presented here. All of the graduate courses in the Master of Applied Statistics program heavily rely on these concepts and procedures.
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The Prerequisites Checklist page on the Department of Statistics website lists a number of courses that require a foundation of basic statistical concepts as a prerequisite.