## Statistical Thinking for Industrial Problem Solving이 과정의 업데이트 버전이 있습니다: Statistical Thinking for Industrial Problem Solving for Korea. This course is for anyone seeking to develop core competency in applied problem-solving with data and statistics. 교육 내용
- Map a process, define and scope your project, and determine the data that you need to solve your problem.
- Describe data with graphics and use interactive visualizations to find and communicate the story in your data.
- Use tools to quantify, control, and reduce variation in your product, service, or process.
- Draw inferences from data, construct statistical intervals, perform hypothesis tests, and understand the relationship between sample size and power.
- Examine the linear association between pairs of variables.
- Fit and interpret linear and logistic regression models.
- Speak the language of design of experiments (DOE).
- Design, conduct, and analyze an experiment in JMP.
- Identify possible relationships, build predictive models, and derive value from free-form text.
Knowledge of JMP software is helpful, but not required. 이 과정에서는 JMP 소프트웨어를 사용합니다. Statistical Thinking and Problem SolvingExploratory Data AnalysisQuality MethodsDecision Making with DataCorrelation and RegressionDesign of ExperimentsPredictive Modeling and Text MiningEJMPST |
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