Introductory Statistics, 10/e (Paperback)
暫譯: 初級統計學,第10版(平裝本)

Neil Weiss

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Weiss’s Introductory Statistics, Tenth Edition, is the ideal textbook for introductory statistics classes that emphasize statistical reasoning and critical thinking. Comprehensive in its coverage, Weiss’s meticulous style offers careful, detailed explanations to ease the learning process. With more than 1,000 data sets and over 3,000 exercises, this text takes a data-driven approach that encourages students to apply their knowledge and develop statistical understanding.

This text contains parallel presentation of critical-value and p-value approaches to hypothesis testing. This unique design allows the flexibility to concentrate on one approach or the opportunity for greater depth in comparing the two.

 

 <章節目錄>

 

PART I: INTRODUCTION
Ch 1 The Nature of Statistics

PART II: DESCRIPTIVE STATISTICS
Ch 2 Organizing Data
Ch 3 Descriptive Measures

PART III: PROBABILITY, RANDOM VARIABLES, AND SAMPLING DISTRIBUTIONS
Ch 4 Probability Concepts
Ch 5 Discrete Random Variables

Ch 6 The Normal Distribution
Ch 7 The Sampling Distribution of the Sample Mean

PART IV: INFERENTIAL STATISTICS
Ch 8 Confidence Intervals for One Population Mean
Ch 9 Hypothesis Tests for One Population Mean
Ch 10 Inferences for Two Population Means
Ch 11 Inferences for Population Standard Deviations

Ch 12 Inferences for Population Proportions
Ch 13 Chi-Square Procedures

PART V: REGRESSION, CORRELATION, AND ANOVA
Ch 14 Descriptive Methods in Regression and Correlation
Ch 15 Inferential Methods in Regression and Correlation
Ch 16 Analysis of Variance (ANOVA)

PART VI: MULTIPLE REGRESSION AND MODEL BUILDING; EXPERIMENTAL DESIGN AND ANOVA
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MODULE A: Multiple Regression Analysis
MODULE B: Model Building in Regression
MODULE C: Design of Experiments and Analysis of Variance

 

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內容簡介

Weiss 的《初級統計學》第十版是強調統計推理和批判性思維的初級統計課程的理想教科書。該書內容全面,Weiss 的細緻風格提供了仔細且詳細的解釋,以便於學習過程。書中包含超過 1,000 個數據集和 3,000 多個練習,採用數據驅動的方法,鼓勵學生應用所學知識並發展統計理解。

本書包含關於假設檢定的臨界值和 p 值方法的平行呈現。這一獨特設計允許靈活地專注於一種方法,或有機會更深入地比較兩者。

章節目錄

PART I: 介紹
Ch 1 統計的本質

PART II: 描述性統計
Ch 2 數據組織
Ch 3 描述性度量

PART III: 機率、隨機變數與抽樣分佈
Ch 4 機率概念
Ch 5 離散隨機變數
Ch 6 常態分佈
Ch 7 樣本均值的抽樣分佈

PART IV: 推論統計
Ch 8 單一母體均值的信賴區間
Ch 9 單一母體均值的假設檢定
Ch 10 兩個母體均值的推論
Ch 11 母體標準差的推論
Ch 12 母體比例的推論
Ch 13 卡方程序

PART V: 迴歸、相關與變異數分析
Ch 14 迴歸與相關的描述性方法
Ch 15 迴歸與相關的推論方法
Ch 16 變異數分析 (ANOVA)

PART VI: 多重迴歸與模型建構;實驗設計與變異數分析
MODULE A: 多重迴歸分析
MODULE B: 迴歸中的模型建構
MODULE C: 實驗設計與變異數分析