Quality statistics training

 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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