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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
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