The Basic Practice of Statistics, 4/e (統計學基本實務(第4版))

David S. Moore

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Description

David S. Moore's name has come to stand for exceptional clarity and innovation within statistics textbooks, praised by students and instructors worldwide. The fourth edition of The Basic Practice of Statistics continues this trend by excelling both in presentation, features and pedagogy. A new 4-step process gives students the tools to solve complex problems and relate them to the real world. This fourth edition contains a CD ROM and is also complemented by StatsPortal, one of the most advanced web-based supplements currently available.

 

Table of Contents

To the Instructor: About this Book
To the Student: Statistical Thinking
PART I: EXPLORING DATA
Picturing Distributions with Graphs
Describing Distributions with Numbers
Scatterplots and Correlation
Regression
Two-Way Tables
Part I Review
PART II: FROM EXPLORATION TO INFERENCE
Producing Data: Sampling
Producing Data: Experiments
Commentary: Data Ethics
Introducing Probability
Sampling Distributions
General Rules of Probability
Binomial Distributions
Confidence Intervals: The Basics
Tests of Significance: The Basics
Inference in Practice
Part II Review
PART III: INFERENCE ABOUT VARIABLES
Inference About A Population Mean
Two-Sample Problems
Inference about a Population Portion
Comparing Two Proportions
Part III Review
PART IV: INFERENCE ABOUT RELATIONSHIPS
Two Categorical Variables: The Chi-Square Test
Inference for Regression
One-Way Analysis of Variance: Comparing Several Means
Statistical Thinking Revisited
Notes and Data Sources
Tables
Solutions to Selected Exercises
Index
PART V: OPTIONAL COMPANION CHAPTERS
(On the CD, Web, and printed separately)
Nonparametric Tests
Statistical Process Control
Multiple Regression
Two-Way Analysis of Variance

商品描述(中文翻譯)

描述

David S. Moore的名字已成為統計教科書中卓越清晰和創新的代名詞,受到全球學生和教師的讚揚。《統計學基本實踐》第四版延續了這一趨勢,在呈現、特色和教學法方面都表現出色。一個新的4步驟流程為學生提供了解決複雜問題並將其與現實世界相關聯的工具。第四版附帶一個CD-ROM,並且還配有《StatsPortal》,這是目前最先進的基於網絡的補充資料之一。

目錄

導讀:關於本書的教師導讀、關於統計思維的學生導讀
第一部分:探索數據
用圖形描述分佈
用數字描述分佈
散點圖和相關性
回歸
雙向表
第一部分回顧
第二部分:從探索到推斷
生成數據:抽樣
生成數據:實驗
評論:數據倫理
引入概率
抽樣分佈
概率的一般規則
二項分佈
置信區間:基礎知識
顯著性檢驗:基礎知識
實踐中的推斷
第二部分回顧
第三部分:關於變量的推斷
對於母體平均值的推斷
兩樣本問題
對於母體比例的推斷
比較兩個比例
第三部分回顧
第四部分:關於關係的推斷
兩個分類變量:卡方檢驗
回歸的推斷
單因素變異分析:比較多個平均值
重新思考統計思維
註解和數據來源
表格
選擇性練習解答
索引
第五部分:可選附加章節
(在CD、網絡和單獨印刷版中)
非參數檢驗
統計過程控制
多元回歸
雙因素變異分析