Statistics for Engineering and the Sciences, 6/e (Hardcover)
暫譯: 工程與科學的統計學，第6版（精裝本）

<內容簡介>

Statistics for Engineering and the Sciences, Sixth Edition is designed for a two-semester introductory course on statistics for students majoring in engineering or any of the physical sciences. This popular text continues to teach students the basic concepts of data description and statistical inference as well as the statistical methods necessary for real-world applications. Students will understand how to collect and analyze data and think critically about the results.

●Many new and updated exercises based on contemporary engineering and scientific-related studies and real data
●More statistical software printouts and corresponding instructions for use that reflect the latest versions of the SAS, SPSS, and MINITAB software
●Introduction of the case studies at the beginning of each chapter
●Streamlined material on all basic sampling concepts, such as random sampling and sample survey designs, which gives students an earlier introduction to key sampling issues
●New examples on comparing matched pairs versus independent samples, selecting the sample size for a designed experiment, and analyzing a two-factor experiment with quantitative factors
●New section on using regression residuals to check the assumptions required in a simple linear regression analysis

為了多益考高分，狂背單字、死背句型，
卻一考完就忘光光？
本書教你將苦學多時的多益，落實在不同的職場階段，
讓你隨時對照應用、輕鬆應對。

善用所學，才增強職場英語實戰力！

◎套入5大職場情境，強化英文實際運用，邊做邊學不會忘。
◎矯正職場菜英文，提升個人英文魅力。
◎補充現在多益熱門單字與文法，讓你在工作中還能學習新知識。
◎依照職務工作事項分類，可做為英文工具書，工作中現學現賣。
◎增加補充時事應用，一字多用，同時間思考多種可能。

本書以五大職場必經階段來劃分篇章：菜鳥面試、便利貼職員、獨當一面、小主管、大主管。每個階段都有精彩、仿真情境的案例，提供有機會使用到的單字、文法、片語、以及情境對話，，讓你邊看邊拾回多益能力，扎扎實實地用用在工作中的各個面向。
更重要的是，最後還有搭配多益試題，讓你學會、還能應用，自然而然將多益的聽、說、讀、寫帶入職場中。

◎本書特色
1. 多益╳職場通
台灣考生總是狂背多益單字、死背句型，考完就忘光光！本書提供實際情境案例，讓想學好商用英文的人能夠將職場英文落實應用。
2. 一本好的英文工具書
本書內容完全針對職場情境量身打造，諸如英文信件回覆、接聽電話、洽談合約……等等，讓你隨時都能對照應用、輕鬆應對。<章節目錄>

1 Introduction
2 Descriptive Statistics
3 Probability
4 Discrete Random Variables
5 Continuous Random Variables
6 Bivariate Probability Distributions and Sampling Distributions
7 Estimation Using Confidence Intervals
8 Tests of Hypotheses
9 Categorical Data Analysis
10 Simple Linear Regression
11 Multiple Regression Analysis
12 Model Building
13 Principles of Experimental Design
14 The Analysis of Variance for Designed Experiments
15 Nonparametric Statistics
16 Statistical Process and Quality Control
17 Product and System Reliability
Appendix A: Matrix Algebra
Appendix B: Useful Statistical Tables
Appendix C: SAS for Windows Tutorial
Appendix D: MINITAB for Windows Tutorial
Appendix E: SPSS for Windows Tutorial