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Statistics

Overview

This introductory course serves a variety of students who need a working knowledge of statistics. Topics include descriptive analysis and treatment of data; scatterplots, linear regression and correlations; bootstrapping and randomization distributions; calculating, analyzing, and interpreting hypothesis tests and confidence intervals for population means or proportions.

Selected learning outcomes

Demonstrate an understanding of the importance that random sampling and randomization play in producing data that allow one to draw conclusions about the underlying populations
Explain that statistical procedures have specific requirements necessary for their application and verify that these requirements have been fulfilled for the situation with which you are presented
Express in clearly written form, and always in the context of the particular problem situation, the results of statistical investigations and analyses
Formulate and conduct tests of significance for population parameters (proportions and/or means) and interpret the results in the original context

Resources

Course structure and syllabus excerpts

Sample lesson: introducing hypothesis tests (PDF)

Sample lesson: connecting confidence intervals and hypothesis tests (PDF)

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