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275-What Every Engineer Should Know About Engineering Probability and Statistics I

By: O. Geoffrey Okogbaa, Ph.D., PE

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Course Objective

This continuing education course is written specifically for professional engineers with the objective of relating to and enhancing the practice of engineering.

Course Description

275-What Every Engineer Should Know About Engineering Probability and Statistics I

The concept of probabilistic design is quite pervasive across the engineering disciplines because of its implication on engineering design decisions. Typically, assumptions and simplification of engineering and other related natural processes are often idealistic and do not consider uncertainties inherent in those processes and phenomenon (be they mechanical, chemical, electrical, biological, etc). There is also the tendency to assume that the situation is either deterministic or qualitative or both. Under certain circumstances such assumptions may suffice. However, in the realm of engineering design, such assumptions and simplifications are not acceptable as uncertainties are unavoidable in almost all engineering analyses and design activities. Thus, any recommendations that are formulated without proper identification and assessment of the inherent risks and uncertainties would not only be invalid but would paint a wrong picture of the situation under consideration.

The purpose of this course therefore is to present the fundamental concepts of probability and statistics from the perspective of engineering practice. As part of the learning objective, the course would demonstrate:

  • The role of probability and statistics in engineering design decisions, and
  • The concepts of variability

Additionally, the student will be able to:

  • Develop an appreciation of the notion of events, the sample space and the real line.
  • Understand the notion of enumeration and counting techniques that are applicable in probability and statistics analyses.
  • Explore the meaning of density and mass functions with respect to their relationship to random variables.
  • Discover some of the common discrete and continuous distributions that are employed in describing engineering problem situations and scenarios
275-What Every Engineer Should Know About Engineering Probability and Statistics I
Arthur Schmitt
01/03/2019
Verified Buyer
Excellent course, but it required more than three hours of study for me.
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275-What Every Engineer Should Know About Engineering Probability and Statistics I
Don W Edwards
12/07/2018
Verified Buyer
Good introduction. A little more clarity on math symbols and a few more example would have been appreciated.
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275-What Every Engineer Should Know About Engineering Probability and Statistics I
Dan Robinson
11/19/2018
Verified Buyer
Good overview of the material. There were some typos, and occasional ambiguities in the explanations. However, it was a decent overview of a complex subject.
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275-What Every Engineer Should Know About Engineering Probability and Statistics I
Frank Rivera
09/28/2018
Verified Buyer
This was a challenging, but worthwhile course. I learned a lot of new principles. I think this kind of statistical study is representative about what continuing education is about. I very much enjoyed it too!!
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275-What Every Engineer Should Know About Engineering Probability and Statistics I
Paul Dorvel
08/31/2018
Verified Buyer
The course was wide-ranging. There was a lack of clarity sometimes in symbology, text was full of long run on sentences and occasionally confusing grammar. The content was good but highly academic. This was helped by many examples and stated guidelines. I recently read Statistical Treatment of Experimental Data by Hugh D. Young, published in 1962. It was an excellent treatise covering much the same ground as Course 275, albeit in 150 pages.
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275-What Every Engineer Should Know About Engineering Probability and Statistics I
William Foley
07/10/2018
Verified Buyer
Some misspelled words in text and some incomplete sentences. On page 7 63 divided by 7 is said to be 8 and not 9. On page 11, MATHLAB is really MATLAB. Pie chart page 14 is in poor form with slices not proportional to frequency. Wish that all examples wee engineering based versus die roll or card deck based. Used some good engineering examples with distribution discussion. Figure 9 was blank in my pdf saved file. For distributions suggest using Excel as calculation platform rather than using tables in textbooks. Page 32 discussion of bernoulli needs cleanup with odd sentence gaps.
The author has addressed the reviuewer's comments in a revised and updated course document.
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275-What Every Engineer Should Know About Engineering Probability and Statistics I
John Skog
01/03/2018
Verified Buyer
While the concepts are generally well presented. There are some typos in the material. It would also be good to explain some of shorthanded descriptions such as the probability of a given b.
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275-What Every Engineer Should Know About Engineering Probability and Statistics I
M Kutz
10/28/2017
Verified Buyer
The overall format and text grammar was very well done. Yet many terms were used without explanation - so having had a little background in prob / stats was an advantage. Also, many of the formulae were very complex and didn't seem appropriate for a 'Part 1' course. [But the examples were great and well presented!] In general - A good course ...
1 of 1 customers found this helpful.
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275-What Every Engineer Should Know About Engineering Probability and Statistics I
Walter David Bruce
08/04/2017
Verified Buyer
This course requires the student to conduct a thorough review of some of the basic principles of statistics. It was helpful. Additional examples and questions dealing with the use of the standard normal distribution would be useful. Also, the information on Page 5 that forms the basis for the answer to test question number 2 may need clarification.
2 of 2 customers found this helpful.
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275-What Every Engineer Should Know About Engineering Probability and Statistics I
erwin everett
03/26/2017
The course was good. I felt that the nomenclature used in some of the formulas was not defined very well which made it difficult to understand the formulas
2 of 2 customers found this helpful.
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275-What Every Engineer Should Know About Engineering Probability and Statistics I
02/27/2017
Verified Buyer
Seemed applicable to what I do. Too rushed for some sections,
2 of 2 customers found this helpful.
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275-What Every Engineer Should Know About Engineering Probability and Statistics I
Emma Mellinger
02/24/2017
Verified Buyer
Great to see a Probability and Statistics course offered! However, the text was badly in need of a technical editor. I had to refer to my (now ancient) college textbook to clarify some of the material. Typos abounded! Even in the Test!! (Problem 29 for example). Much of the material could have been presented more clearly, and extraneous duplication omitted. I'll try the second course in this series just for kicks, but I'll keep my textbook handy... I would not recommend this for those who don't have previous experience.
2 of 2 customers found this helpful.
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275-What Every Engineer Should Know About Engineering Statistics I
Charles Perryman, PE
02/14/2017
Verified Buyer
Not a bad job by the author. This is a tough subject. But from section 6.1 to the end, the material seemed to be a dumping ground for probability theory, Venn and Tree diagrams, and the Greek alphabet. One would have to be very comfortable with sigmas, mus, and lamdas to get meaning out of the formulas. I suggest using some Excel references (e.g, =binomdist, =normdist, =stdev) to supplement the explanations/formulas. There were some errors and inconsistencies that distracted from the content, and some of the examples. (For example, the median of a set of data is not (n+1)/2; rather, it is located at the (n+1)/2 position. A similar issue occurred with the quartile explanation. There were some errors with the Normal Distribution Example 2). It was good to learn about the negative binomial and the hypergeometric distributions, but I did supplement the course with some Wikipedia explanations (some were better, some were not). Two of the exam questions (#13 & #19) referenced earlier questions incorrectly. All in all, however, it met my needs for pdh, and the sale price was reasonable.
4 of 4 customers found this helpful.
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Course Code: 100262-01
Course PDH Hours: 5
Engineering Course Approvals
  • This course is accepted for engineering continuing education credit in all states.
  • Ohio rules allow only 6-hours of unsupervised online courses such as this course per license renewal period

About Course Approvals

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Need Help?

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For fastest service please enter your question or issue in the text box below. Enter your name and email address so we can reply. Be sure to give us enough info to identify the course or order that you need help with.

You may also call us at: 561-753-0105