The objective of the curriculum is to provide participants with the analytical tools and methods necessary to:
- Describe and summarize data effectively with descriptive statistics and graphical methods
- Correctly compare groups with respect to means, variability, and proportions by testing hypotheses
- Estimate key statistics and quantify uncertainty (confidence intervals)
- Characterize expected variation from sample data (tolerance intervals)
- Determine appropriate sample sizes to achieve adequate power for hypothesis tests
- Develop, validate, and utilize predictive models
Participants gain a solid understanding of important concepts and methods to analyze data and support effective decision making. Many practical examples are presented to illustrate the application of technical concepts.
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