Innovations for Quality, LLC

Training you at the speed of need

The Certified Quality Engineer Exam is a very challenging test of your skill and understanding of Quality Engineering principles. The exam is structured at 5 hours and 160 questions. You have 1.875 minutes per question. Roughly 20% of the exam will require you to perform some level of calculating. The key to performing well and passing the exam is the preparation. It is critical you understand the Body of Knowledge the exam is based on and realize your weaknesses relative to that information. Get a copy of the ASQ Certification BOK for the Certified Quality Engineer.

For each section outlined in the BOK write down bullet points that help explain the concept referenced in the Body of Knowldege. Don't copy word for word from your reference material, you want to write it in your own words. By the time you are done, you will find you have a pretty solid understanding of the Body of Knowledge requirements and this document will serve as an excellent reference during the exam.

With the new computer based testing ASQ has implemented, you can take the CQE (Certified Quality Engineer) exam on the following dates:

04/07/2017 - 04/23/2017

06/02/2017 - 06/18/2017

08/04/2017 - 08/20/2017

10/06/2017 - 10/22/2017

12/01/2017 - 12/17/2017

Try our CQE Problem Solving tool and decision tree. They are valuable aids in determining which way to solve the various problems contained within the CQE body of knowledge.

CQE_Problem_Solving_Tool.doc

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CQE_Decision_Tree.docx

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The preparation course for the ASQ CQE exam consists of about 28 hours of class time.
We offer a wide range of class times to accommodate a variety of schedules. We can find a Certified Quality Engineer class that meets your needs. The classes offer a mixture of lecture, problem review and quizzes. The training is conducted in an online classroom environment with a high level of interactivity between the student and the instructor. You will have unlimited access to the instructor to get your questions answered outside of normal class times.

ASQ Certification exam for CQE.

The difficulty in passing the ASQ CQE exam is the amount of information you need to know and time management during the exam. The statistics area is normally the obstacle for most people. The key areas you should be very proficient in are as follows:

Cp and CpK If the process is centered and has a CpK of 1.2 and moves 1.5σ to the right, what is the new CpK (It is .8)?

Hypothesis testing You must be proficient at determining whether it is a t test, z test, F test or Chi Square test. Example: You sampled 100 units from two suppliers and found supplier A has 12% defective and supplier B has 18%. Are they statistically significant at a 5% risk?

ANOVA You are comparing 4 suppliers and gather 5 measurements from each supplier. How many degrees of freedom are allocated to the error, how many total?

DOE You are running 3 factors at 3 levels, how many trials are required for a full factorial, how many for a 3^{3-1}?

Reliability A system has a failure rate of .01/Hr, what is the reliability at 1000 hours?

MSA A gage has a standard deviation of reproducibility of .1 and a variance of repeatability of .03. What is the standard deviation of the measurement system?

Control Charts A process is in control with a mean of 15, a sample size of 4 and a process standard deviation equal to 2. What are the upper and lower control limits?

Distributions A process is running with a 2% defective rate and a sample of 110 is taken. What is the probability of finding at least 2 defective? A process has a mean of 100 and a standard deviation of 3 with a specification of 102 +/- 8. What percentage is out of specification?

If you know how to solve the above questions, you will be in good shape for the ASQ CQE exam

Cost of the Certified Quality Engineer - CQE Exam Preparation Course:

$750.00 This includes all materials, access to the live, online classes and unlimited access to the

recorded classes.

$450.00 This includes unlimited access to the recorded classes but does not include materials.

Class 1 Basic Statistics

Class 2 Statistical Applications

Class 3 Statistical Applications

Class 4 Advanced Statistics

Class 5 Advanced Statistics

Class 6 Advanced Statistics

Class 7 Product and Process Designs

Class 8 Product and Process Control

Class 9 Control and Management Tools/Improvement Techniques

Class 10 Management and Leadership/Quality Systems

Class 11 Review

Class 12 Review

Additional one hour classes will be added to review problems and the strategy to attack the questions.

You can purchase the training by visiting our

Test your knowledge and try a short

Which of the following is a test to compare a population mean to a known value?

(a) ANOVA

(b) F test

(c) Z test

(d) Chi-Square test

You could look up those four tests and you will find one of them is specifically used for comparing a population mean to a fixed or known value. The correct answer is (c).

However, this next question requires a higher cognitive level of understanding and looking up the answer probably will consume far to much time than you can afford during the exam.

You are comparing two processes with equal unknown variances to see if they are different. You withdraw a sample of 15 from process A and have an average of 12 and a standard deviation of 2.1. From process B you sample 12 and determine an average of 15 with a standard deviation of 2.6. What conclusion do you make at a 99% confidence level?

(a) you conclude they are statistically the same

(b) you conclude they are statistically different

(c) they are statistically different since t

(d) they are not statistically different because t

When you are faced with a question regarding confidence limits or a hypothesis test it is important to determine which standard deviation are you using a sample or population. If the question is worded "A process is running with an average of 12 and a standard deviation of 2" , then you know the process sigma or the population sigma and you would use the Z distribution. If the question is worded "A process is running and for a sample of 16 the average is 12 and the standard deviation is 2" , you do not know the population sigma you only know the sample sigma, so you would apply the t distribution. It is important to keep those two separate.