Principles of Statistics for Engineers and Scientists, 2/e (IE-Paperback)
暫譯: 工程師與科學家的統計原理,第二版 (IE-平裝本)

William Navidi

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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

工程師與科學家的統計原理(第二版)強調統計方法及其在科學和工程問題中的應用。本書包含許多使用真實、當代數據集的範例,旨在激勵學生並展示與產業和科學研究的聯繫。由於統計分析是在電腦上進行的,本書包含涉及解釋及生成電腦輸出的練習和範例。這本書可以有效地與任何軟體包一起使用。

本版新內容

新增超過250個練習題,以提供更廣泛的練習選擇。

在第一章中新增了對異常值的抵抗內容,以幫助理解均值和中位數之間的差異。

第二章中現在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。

第七章新增了方差的F檢定,因為這是一種常用的方法。

特色

在第二章中介紹線性模型,讓教師可以選擇早期涵蓋這一重要主題。

許多練習涉及解釋電腦輸出,讓學生在這一基本技能上進行練習。

許多範例和練習使用來自科學文章的真實數據,讓學生看到他們所學概念和方法的實際應用。

在線性回歸的內容中強調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)

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