Statistical Thinking for Industrial Problem Solving

JMP Certified Associate: Statistical Thinking for Industrial Problem Solving

During this performance-based examination, candidates will apply the skills and knowledge necessary to apply statistical thinking and fundamental statistical methods to solve industrial problems.

Successful candidates should have the ability to:

• Explain the importance of using data and applying statistical methods to solve problems.
• Develop a clearly defined problem statement to translate a business problem into an analytics problem
• Compile and prepare data for analysis.
• Visually and interactively explore data to identify potential root causes of variation.
• Translate analytics results into an actionable decisions and results.
• Interpret the components of a control chart to determine if a process is stable.
• Design a measurement system analysis (MSA) and interpret the results of an MSA.
• Conduct a capability analysis and interpret Cp, Cpk, Pp and Ppk.
• Interpret statistical intervals and hypothesis test results.
• Describe the impact of sampling and sample size on statistical decision making.
• Explain the difference between correlation and causation.
• Fit a simple regression model and interpret the results.
• Interpret analysis results for multiple linear regression and binary logistic regression.
• Explain the importance of DOE in developing knowledge of cause and effect.

Exam Content & Pricing

Candidates who earn this credential will have earned a passing score on the Statistical Thinking for Industrial Problem Solving exam.