Applied Statistics and Probability for Engineers 7th Edition – Douglas C. Montgomery

SKU : PRE-9781119231943

$32.15

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Applied Statistics and Probability for Engineers, 7th Edition, by Douglas C. Montgomery, is a comprehensive textbook designed to equip engineering students with a thorough understanding of statistical methods and their practical applications. This widely-used resource provides a solid foundation in probability and statistical inference, crucial for tackling real-world engineering problems.

The book excels in its clear explanations of fundamental concepts, supported by numerous solved examples and practice exercises. This hands-on approach allows students to develop essential problem-solving skills and gain confidence in applying statistical techniques to analyze data and draw meaningful conclusions. Readers will learn how to interpret results, make informed decisions, and effectively communicate their findings.

Covering a broad range of statistical methods relevant to engineering, this edition remains current with the latest advancements in the field. Whether focusing on descriptive statistics, probability distributions, hypothesis testing, regression analysis, or design of experiments, students will find the material accessible and relevant to their studies. This makes it an ideal resource for both undergraduate and graduate-level engineering courses.

Gain a competitive edge in your engineering career by mastering the principles presented in this text. Improve your analytical abilities and prepare to effectively address complex engineering challenges through data-driven decision making. The book’s comprehensive approach and practical examples ensure a strong foundation in applied statistics and probability.

Available ISBNs include: 9781119231943, 1119231949, 9781119400363, 1119400368.

Master applied statistics & probability for engineering! Douglas C. Montgomery’s 7th edition (ISBN: 9781119231943) provides a comprehensive guide with solved examples & exercises. Ideal for undergraduate & graduate engineering students.