STAT 100b: Introductory Statistics

Jay Emerson

Brief Course Description:

Every day we are inundated with data. How do we recognize dishonest or even unintentionally distorted representations of quantitative information? How can we reconcile two medical studies with seemingly contradictory conclusions? How many observations do we need in order to make a sound decision? This course introduces statistical reasoning, emphasizing how Statistics can help us understand the world. Topics include numerical and graphical summaries of data, data acquisition and experimental design, probability, hypothesis testing, confidence intervals, correlation and regression. Students will learn to apply statistical concepts to data and reach conclusions about real-world problems.

Course syllabus (from Spring 2007)

STAT 100 and the Quantitative Reasoning Requirement

Department of Statistics

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