This book uses a modern and visual approach to probability. It covers such topics as reliability, acceptance sampling, linear regression, quality production and quality control. It shows readers how to focus on the meaning of the results by making use of a computer algebra system that relieves the computational aspects of algebra and calculus. It integrates applications of probability to a variety of fields.
This is a rather unusual text. It covers most of the first half of a mathematical statistics course (which is 2 semesters long and requires the calculus sequence) which is on probability. This book does a nice job of covering all of the usual topics in probability in that sequence. The applications are to statistics, but are insufficient for a course in statistics. But these applications are well done and as such I think this book is a great resource for the student taking the mathematical statistics sequence. As for probability, I have taught a senior level course for math majors out of this text twice and intend to use it again. However, I did not have time to cover the applications to statistics (which I urge the students to study).
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