Learn about tools for quantifying, controlling and reducing variation in your product, service or process. Topics include control charts, process capability and measurement systems analysis. Learn about tools used for drawing inferences from data. In this module you learn about statistical intervals and hypothesis tests.
You also learn how to calculate sample size and see the relationship between sample size and power. Learn how to use scatterplots and correlation to study the linear association between pairs of variables. Then, learn how to fit, evaluate and interpret linear and logistic regression models. Learn how to identify possible relationships, build predictive models and derive value from free-form text. Demonstrate your mastery by earning your certification in Statistical Thinking for Industrial Problem Solving.
Integrate STIPS content into your academic curriculum or commercial internal training using our customizable teaching materials. Enroll now. Have two minutes? Learn more. All you need is a browser, an internet connection and an inquisitive mind.
Statistical Thinking and Problem Solving Statistical thinking is about understanding, controlling and reducing process variation. Exploratory Data Analysis Learn the basics of how to describe data with graphics and statistical summaries. Quality Methods Learn about tools for quantifying, controlling and reducing variation in your product, service or process.
Decision Making With Data Learn about tools used for drawing inferences from data. Correlation and Regression Learn how to use scatterplots and correlation to study the linear association between pairs of variables. Predictive Modeling and Text Mining Learn how to identify possible relationships, build predictive models and derive value from free-form text. Certification Demonstrate your mastery by earning your certification in Statistical Thinking for Industrial Problem Solving.
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