Probability and Statistics for Engineering and the Sciences, 8/e (IE-Paperback)
暫譯: 工程與科學的機率與統計,第8版 (IE-平裝本)

Devore J L

買這商品的人也買了...

相關主題

商品描述

<內容簡介>

1. Several exercises refer to material covered in earlier sections and chapters, allowing students to more easily see the connections between concepts.
2. Virtually every example and exercise has a real world context. Real data in exercises and examples stimulate students' interest and enhance their comprehension of concepts.
3. Notable content includes a strong emphasis on the role that variation plays in statistics, emphasis on the nature of variation in the slope estimate in simple linear regression, and inclusion of a detailed description of pooled t procedures to provide a balance between unpooled and pooled analyses.
4. "Simulation Experiments" help students gain an understanding of sampling distributions and the insight they provide, especially when a derivation is too complex to carry out.
5. Strong computer coverage, especially with ANOVA and regression, is supported by an abundance of computer output from SAS® and MINITAB® and coverage of computer methods. Inclusion of Java™ Applets from Gary McClelland's SEEING STATISTICS, specifically designed for this calculus-based text, allows students to experience statistics firsthand.

New To This Edition
1. Chapter 1, "Overview and Descriptive Statistics," contains a new subsection on "The Scope of Modern Statistics" that describes and exemplifies how statistics is used in modern disciplines.
2. A significantly revised and simplified Chapter 8, "Tests of Hypotheses Based on a Single Sample," also has a new subsection entitled "More on Interpreting P-values."
3. More than 40 new examples and 100 new problems were carefully researched and written using the most up-to-date real data.

<章節目錄>

Ch 1 Overview and Descriptive Statistics
Ch 2 Probability
Ch 3 Discrete Random Variables and Probability Distributions
Ch 4 Continuous Random Variables and Probability Distributions
Ch 5 Joint Probability Distributions and Random Samples
Ch 6 Point Estimation
Ch 7 Statistical Intervals Based on a Single Sample
Ch 8 Tests of Hypotheses Based on a Single Sample
Ch 9 Inferences Based on Two Samples
Ch10 The Analysis of Variance
Ch11 Multifactor Analysis of Variance
Ch12 Simple Linear Regression and Correlation
Ch13 Nonlinear and Multiple Regression
Ch14 Goodness-of-Fit Tests and Categorical Date Analysis
Ch15 Distribution Free Procedures
Ch16 Quality Control Methods

 

商品描述(中文翻譯)

內容簡介
1. 幾個練習題參考了早期章節中涵蓋的材料,使學生能更輕鬆地看到概念之間的聯繫。
2. 幾乎每個範例和練習題都有現實世界的背景。練習題和範例中的真實數據激發學生的興趣,並增強他們對概念的理解。
3. 重要內容包括強調變異在統計中的角色,強調簡單線性回歸中斜率估計的變異性質,以及包含詳細的合併 t 檢定程序的描述,以提供未合併和合併分析之間的平衡。
4. “模擬實驗”幫助學生理解抽樣分佈及其提供的見解,特別是在推導過於複雜時。
5. 強大的計算機覆蓋,特別是在 ANOVA 和回歸方面,得到了來自 SAS® 和 MINITAB® 的大量計算機輸出和計算機方法的支持。包含專為這本基於微積分的教材設計的 Gary McClelland 的 SEEING STATISTICS 中的 Java™ Applets,讓學生能夠親身體驗統計。

本版新內容
1. 第 1 章“概述與描述性統計”包含一個新小節“現代統計的範疇”,描述並舉例說明統計在現代學科中的應用。
2. 第 8 章“基於單一樣本的假設檢定”經過顯著修訂和簡化,還新增了一個名為“關於解釋 P 值的更多內容”的小節。
3. 超過 40 個新範例和 100 個新問題經過仔細研究和撰寫,使用了最新的真實數據。

章節目錄
Ch 1 概述與描述性統計
Ch 2 機率
Ch 3 離散隨機變數與機率分佈
Ch 4 連續隨機變數與機率分佈
Ch 5 聯合機率分佈與隨機樣本
Ch 6 點估計
Ch 7 基於單一樣本的統計區間
Ch 8 基於單一樣本的假設檢定
Ch 9 基於兩個樣本的推論
Ch 10 方差分析
Ch 11 多因素方差分析
Ch 12 簡單線性回歸與相關
Ch 13 非線性與多重回歸
Ch 14 擬合優度檢定與類別數據分析
Ch 15 無分佈程序
Ch 16 品質控制方法