This course introduces statistical techniques and methods of data analysis. including the use of statistical software. Examples are drawn from the biological, physical, and social sciences. Students are required to apply the techniques discussed to data drawn from actual research. Topics include data description, graphical techniques, exploratory data analyses, random variation and sampling, basic probability, random variables and expected values, confidence intervals and significance tests for one- and two-sample problems for means and proportions, chi-square tests, linear regression, and, if time permits, analysis of variance. exposure to 1 - variable calculus helpful but not absolutely required
We are no longer admitting high school students to the 2018 Summer Session. Visiting undergraduate students are welcome to apply.
High School Students
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