We have got your back for exam success | 30% sitewide discount |Use TOGETHER at checkout

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

What do we offer?

  • Full-Length Mock Test with unique questions in each test set
  • Practice objective questions with section-wise scores
  • An in-depth and exhaustive explanation for every question
  • Reliable exam reports evaluating strengths and weaknesses
  • Latest Questions with an updated version
  • Tips & Tricks to crack the test
  • Unlimited access

What are our Practice Exams?

  • Practice exams have been designed by professionals and domain experts that simulate real-time exam scenarios.
  • Practice exam questions have been created on the basis of content outlined in the official documentation.
  • Each set in the practice exam contains unique questions built with the intent to provide real-time experience to the candidates as well as gain more confidence during exam preparation.
  • Practice exams help to self-evaluate against the exam content and work towards building strength to clear the exam.
  • You can also create your own practice exam based on your choice and preference.

100% Assured Test Pass Guarantee

We have built the TestPrepTraining Practice exams with 100% Unconditional and assured Test Pass Guarantee!

If you are not able to clear the exam, you can ask for a 100% refund. 

Tags: JMP Statistical Thinking for Industrial Problem Solving Practice Exam