Principles of Statistics for Engineers and Scientists, 2/e (IE-Paperback)

William Navidi

商品描述

Description
Principles of Statistics for Engineers and Scientists, Second Edition, emphasizes statistical methods and how they are applied to problems in science and engineering. This text contains many examples that feature real, contemporary data sets, both to motivate students and to demonstrate connections to industry and scientific research. Because statistical analyses are done on computers, the book contains exercises and examples that involve interpreting, as well as generating, computer output. This book may be used effectively with any software package.

New to This Edition
More than 250 new exercises have been added to offer a wider variety of exercises for practice.
Resistance to outliers content has been added to Chapter 1 to aid in understanding the differences between means and medians.
Material on interpreting the slope of the least-squares line is now included in Chapter 2 as it is important to understand interpretation of results from linear regression.
F-test for variance has been added to Chapter 7 because it is a frequently used method.

Features
Linear models are introduced in Chapter 2 to give instructors the option of covering this important topic early.
Many exercises involve interpreting computer output, giving students practice in this essential skill.
Many examples and exercises use real data from scientific articles, which allow students to see real-world applications of the concepts and methods they are learning.
Procedures for checking assumptions and selecting models are emphasized in the coverage of linear regression.

商品描述(中文翻譯)

描述

《工程師和科學家的統計原理,第二版》強調統計方法及其在科學和工程問題中的應用。本書包含許多實例,使用真實且當代的數據集,旨在激發學生的興趣,並展示與行業和科學研究的聯繫。由於統計分析是在計算機上進行的,本書包含了涉及解釋和生成計算機輸出的練習和示例。本書可與任何軟件包有效配合使用。

本版新增內容

新增了250多個練習題,提供更多不同類型的練習。

在第1章中新增了對異常值的抵抗內容,以幫助理解平均值和中位數之間的差異。

現在在第2章中包含了解釋最小二乘線斜率的材料,因為理解線性回歸結果的解釋非常重要。

在第7章中新增了方差的F檢驗,因為這是一種常用的方法。

特點

在第2章中引入了線性模型,讓教師有選擇性地早期涵蓋這個重要主題。

許多練習涉及解釋計算機輸出,讓學生練習這一重要技能。

許多示例和練習使用來自科學文章的真實數據,讓學生看到所學概念和方法在現實世界中的應用。

在線性回歸的涵蓋範圍中強調了檢查假設和選擇模型的程序。

目錄大綱

Table of Contents
1 Summarizing Univariate Data
2 Summarizing Bivariate Data
3 Probability
4 Commonly Used Distributions
5 Point and Interval Estimation for a Single Sample
6 Hypothesis Tests for a Single Sample
7 Inferences for Two Samples
8 Inference in Linear Models
9 Factorial Experiments
10 Statistical Quality Control

目錄大綱(中文翻譯)

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目錄

1 單變量資料摘要

2 雙變量資料摘要

3 機率

4 常用分佈

5 單一樣本的點估計和區間估計

6 單一樣本的假設檢定

7 兩個樣本的推論

8 線性模型的推論

9 因子實驗

10 統計品質控制


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