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E135
Errors and Confidence Intervals

David J. Lilja, Ph.D., P.E.

All measurements of real computer systems are subject to both random and systematic errors. These errors introduce uncertainty and imprecision into your measurements, which can make it difficult to interpret your results. In this course, you will learn how an appropriate model of these errors can be used to quantify the precision of your measurements using confidence intervals.

This course includes a multiple-choice quiz at the end, which is designed to enhance the understanding of the course materials.

This course is based on the author's book, Measuring Computer Performance: A Practitioner's Guide. The listed price for this course has been reduced to compensate for the cost of purchasing the required chapter in PDF format online through ebooks.com.


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NY PE & PLS: You must choose courses that are technical in nature or related to matters of laws and ethics contributing to the health and welfare of the public. NY Board does not accept courses related to office management, risk management, leadership, marketing, accounting, financial planning, real estate, and basic CAD. Specific course topics that are on the borderline and are not acceptable by the NY Board have been noted under the course description on our website.

AIA Members: You must take the courses listed under the category "AIA/CES Registered Courses" if you want us to report your Learning Units (LUs) to AIA/CES. If you take courses not registered with AIA/CES, you need to report the earned Learning Units (not qualified for HSW credits) using Self Report Form provided by AIA/CES.

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