Statistical Thinking for Industrial Problem Solving, presented by JMP
SAS
Statistical Thinking for Industrial Problem Solving is an applied statistics course for scientists and engineers offered by JMP, a division of SAS. By completing this course, students will understand the importance of statistical thinking, and will be able to use data and basic statistical methods to solve many real-world problems. Students completing this course will be able to: ⢠Explain the importance of statistical thinking in solving problems ⢠Describe the importance of data, and the steps
About this Course
Statistical Thinking for Industrial Problem Solving is an applied statistics course for scientists and engineers offered by JMP, a division of SAS. By completing this course, students will understand the importance of statistical thinking, and will be able to use data and basic statistical methods to solve many real-world problems. Students completing this course will be able to: ⢠Explain the importance of statistical thinking in solving problems ⢠Describe the importance of data, and the steps
What You'll Learn
- How to describe data with statistical summaries, and how to explore your data using advanced visualizations.
- Understand statistical intervals, hypothesis tests and how to calculate sample size.
- How to fit, evaluate and interpret linear and logistic regression models.
- How to build predictive models and conduct a statistically designed experiment.
Instructors
Mia Stephens