Probability And Statistical Inference(9th Edition)
Authors:
Robert V. Hogg, Elliot Tanis, Dale Zimmerman
In Stock: 1 Left
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Solution Manual Includes
Price:
$9.99
Book details
ISBN: 321923278, 978-0321923271
Book publisher: Pearson
Book Price $0 : Probability and Statistical Inference by Robert V. Hogg, Elliot Tanis, and Dale Zimmerman offers a comprehensive exploration of both probability theory and statistical methods, ideal for students and professionals looking to deepen their understanding of statistical inference. Now in its 9th edition, this textbook serves as an authoritative resource that balances theoretical concepts with practical applications. The book delves into pivotal topics such as data distribution, random variables, and hypothesis testing, making it a cornerstone for any statistician’s library. With an intuitive table of content, readers can easily navigate through chapters on point estimation, interval estimation, and regression analysis. The textbook includes a solution manual that aids readers in grasping complex problems, while an answer key provides clarity for exercises, reinforcing the applied learning aspect inherent in statistical education. Through examples and exercises, it explains intricate concepts like the central limit theorem and Bayesian inference, making it a valuable resource for those preparing for real-world data challenges. The modular structure of the book, alongside its contemporary examples, underlines its adaptability for classroom settings across diverse academic curricula. Its reception has been positive, seen as a bridge between the rigid foundations of probability theory and the flexible applications of statistical inference techniques. Incorporating SEO terms like 'solution manual', 'answer key', and 'table of content', this resource is indispensable for anyone involved in data-centric fields, enriching one's analytical capabilities and statistical prowess. This summary is both cheap and highly practical for those needing quick exam prep.
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