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*PRE-ORDER, APPROX 4-6 BUSINESS DAYS* Probability and Statistics for Engineering and the Sciences 10th Edition by Leif Ellingson 9798214023823 [ZZ]

*PRE-ORDER, APPROX 4-6 BUSINESS DAYS* Probability and Statistics for Engineering and the Sciences 10th Edition by Leif Ellingson 9798214023823 [ZZ]

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Paperback, Cengage

Prepare your students with the data analysis skills they need in their future careers with the market-leading “Probability and Statistics for Engineering and the Sciences,” 10th Edition, with WebAssign, offering a comprehensive introduction to probability models and statistical methods common in engineering and scientific disciplines. New to this edition, authors Leif Ellingson and Anna Panorska -- who both have years of experience teaching statistics at all levels -- emphasize fundamental concepts, models and methodologies, while also providing the underlying rationale to motivate learning. Revisions to the 10th edition help students recall foundational concepts as they read the text and work through exercises. With updated content, authentic problem scenarios in examples and exercises incorporate real-world data to actively engage students and demonstrate practical relevance.

What's New

  • Revisions to the text remind students of foundational concepts at point of need, within readings and in exercises.
  • The text now includes R code, connecting students to the real-world practice of statistics, while still offering the flexibility to use any statistical software program.
  • Updates to data in examples and exercises throughout the text enhance student engagement.

Features

  • WebAssign reinforces learning with a range of automatically graded exercise types, study resources, an interactive eBook and the Statistical Analysis and Learning Tool (SALT).
  • Resampling methods, including parametric and non-parametric bootstrap for estimation of the error of estimators, prepare students with current statistical methodology.
  • Revisions to Chapter 5 help students connect material from Chapters 1–4 on descriptive statistics and probability distributions to the rest of their studies in statistical methods.
  • The text emphasizes variation, particularly in a detailed description of pooled t procedures for analysis and the nature of variation in the slope estimate in simple linear regression.
  • Simulation Experiments help students understand sampling distributions and insights to gain from them, particularly when derivations are too complex to carry out.