Probability and Statistics for Engineering and the Sciences
By Leif Ellingson, Anna Panorska
About your course materials
Ellingson/Panorska's "Probability and Statistics for Engineering and the Sciences," 10e takes an applied approach that helps students use probability and statistics to solve problems in engineering and science. WebAssign brings course concepts into practice through data analysis, statistical software and varied problem-solving experiences that help students move from calculation to interpretation. Updated real-world data, new R code, resampling methods and a stronger emphasis on variation connect foundational concepts to modern statistical practice.
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WebAssign for Ellingson/Panorska's "Probability and Statistics for Engineering and the Sciences," 10th Edition, is a flexible and fully customizable online instructional solution that puts powerful t…
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About this product
Ellingson/Panorska's "Probability and Statistics for Engineering and the Sciences," 10e takes an applied approach that helps students use probability and statistics to solve problems in engineering and science. WebAssign brings course concepts into practice through data analysis, statistical software and varied problem-solving experiences that help students move from calculation to interpretation. Updated real-world data, new R code, resampling methods and a stronger emphasis on variation connect foundational concepts to modern statistical practice.
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.
Table of contents
Chapters
1. Overview and Descriptive StatisticsPreview this chapter
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