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Page PAGE 1 of NUMPAGES 5
PRE-STUDY: STATISTICAL TECHNIQUES
Introduction:
The following pages give examples of the level of knowledge required. If you cannot answer all of these sample questions below, it is recommended you do further pre-study prior to the training course.
These questions are only examples and may not cover all the full body of the subject matter.
IATF will not be able to provide any direct feedback to auditors on any questions related to the pre-study materials.
Completing the questions is no guarantee of success in passing either the knowledge or application exams, but the materials are intended to assist an auditor in preparation.
KNOWLEDGE
Knowledge Requirements:
Understand the principles of statistical techniques including variation, control (stability), process capability and over-adjustment
Understand the different types of control charts for variable and attribute data
Understand rules to interpret control charts
1. Define the meaning of:
a. Process
b. Process control
c. Statistical process control
2. What is meant by:
a. Variable data
b. Attribute data
3. What do you understand by the term bell shaped distribution?
4. How can a distribution vary?
5. Explain the terms:
a. Mean
b. Mode
c. Median
6. What is an X bar- R chart and when might it be used?
7. What is an individual and moving range chart and when might it be used?
8. What is an average and standard deviation chart and when might it be used?
9. What do you understand by the term:
a. Specification limit
b. Control limit
10. What is common cause variation?
11. What is special cause variation?
12. What rules can be used to identify special causes on control charts?
13. What do you understand by the term process capability?
14. What do you understand by the term over-adjustment?
15. What types of charts are used for attribute data and when might each chart be used?
APPLICATION
Competence Requirement:
Ability to audit effective implementation of Statistical Techniqu
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