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...
