Solutions Manual for Introduction to Probability and Statistics for Engineers and Scientists (6th Edition)

$18.00

(This is NOT the TEXTBOOK)
Format: PDF Solutions Manual Only  (NO Test Bank included)
ISBN-13: 978-0128243466
ISBN-10: 0128243465
Delivery: Instant Download
Authors: Sheldon M. Ross
Publisher: Academic Press

Availability: In stock

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Solutions Manual for Introduction to Probability and Statistics for Engineers and Scientists (6th Edition)

(This is NOT the TEXTBOOK)
Format: PDF Solutions Manual Only  (NO Test Bank included)
ISBN-13: 978-0128243466
ISBN-10: 0128243465
Delivery: Instant Download
Authors: Sheldon M. Ross
Publisher: Academic Press

Introduction to Probability and Statistics for Engineers and Scientists, Sixth Edition, uniquely emphasizes how probability informs statistical problems, thus helping readers develop an intuitive understanding of the statistical procedures commonly used by practicing engineers and scientists. Utilizing real data from actual studies across life science, engineering, computing and business, this useful introduction supports reader comprehension through a wide variety of exercises and examples. End-of-chapter reviews of materials highlight key ideas, also discussing the risks associated with the practical application of each material. In the new edition, coverage includes information on Big Data and the use of R.

This book is intended for upper level undergraduate and graduate students taking a probability and statistics course in engineering programs as well as those across the biological, physical and computer science departments. It is also appropriate for scientists, engineers and other professionals seeking a reference of foundational content and application to these fields.

  • Provides the author’s uniquely accessible and engaging approach as tailored for the needs of Engineers and Scientists
  • Features examples that use significant real data from actual studies across life science, engineering, computing and business
  • Includes new coverage to support the use of R
  • Offers new chapters on big data techniques

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