JMP Statistical Thinking for Industrial Problem Solving Practice Exam
JMP Statistical Thinking for Industrial Problem Solving
JMP Statistical Thinking for Industrial Problem Solving
In the JMP Statistical Thinking for Industrial Problem Solving exam, candidates will apply the skills and knowledge necessary to apply statistical thinking and fundamental statistical methods to solve industrial problems. It includes areas such as explaining the importance of using data and applying statistical methods to solve problems, developing a clearly defined problem statement to translate a business problem into an analytics problem, compiling and prepare data for analysis.
Course Structure
The important domains and their topics that the JMP Statistical Thinking for Industrial Problem Solving exam covers are:
1. Section 1: Statistical Thinking and Problem Solving: 10%
● Define statistical thinking and problem solving
● Define the process for the creation of a process map or SIPOC
● Identify the root causes of a problem, compile and collect data
2. Section 2: Exploratory Data Analysis: 20%
● Describe data using descriptive statistics and graphical summaries
● Visualize and explore data
● Save and share results
● Prepare data for analysis
3. Section 3: Quality Methods: 20%
● Use Statistical Process Control Charts
● Assess process capability
● Conduct Measurement System Studies
4. Section 4: Decision Making with Data: 15%
● Define/describe Statistical Intervals
● Perform statistical tests
● Determine sample size
5. Section 5: Correlation and Regression: 20%
● Be able to define and use correlation
● Define simple linear regression
● Define/explain multiple linear regression
● Define/explain logistic regression
6. Section 6: Design of Experiments: 10%
● Define DOE and compare it to OFAT
● Discuss best practices and considerations to take when running an experiment
● Analyze the results of an experiment
● Design a simple experiment
7. Section 7: Predictive Modeling and Text Mining: 5%
● Explain the difference between explanatory modelling versus predictive modelling
● Interpret results from a predictive model with validation
Exam Format
- Exam Name: JMP Statistical Thinking for Industrial Problem Solving
- Exam Number: A00-910
- Number of Questions: 55-60
- Exam Format: Multiple-choice
- Time Give: 150 minutes
- Passing score: 725; uses a score range from 200 to 1,000 points
- Exam fee: €160 EUR
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