Statistics, 11/e (Asia Edition)(Paperback)
暫譯: 統計學，第11版（亞洲版）（平裝本）

Robert S. Witte , John S. Witte

Statistics, 11/e (Asia Edition)(Paperback)

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商品描述

本書序言

●Updated discussion of polling and random digit dialing in Section 8.4.
●A new Section 14.11 on the “file drawer effect,” whereby nonsignificant statistical findings are never published and the importance of replication.
●Revised numerical examples.
●New examples and questions throughout the book.        
●Computer outputs and website have been updated

本書特色

●Fundamental concepts and procedures are clearly explained, and special effort has been made to clarify topics in statistics that are often seen as "mystifying."
●Unnecessary math, computational busy work, and subtle technical distinctions are avoided without sacrificing either accuracy or realism.
●Single examples permeate whole chapters, or even several related chapters, serving as handy frames of reference for new concepts and procedures.
●Each chapter begins with a preview and ends with a summary, lists of important terms and key equations, and review questions.
●Key statements appear in bold type, and step-by-step summaries of essential procedures, such as solving normal curve problems, appear in boxes.
●Important definitions and reminders about key points appear in page margins.
●Scattered throughout the book are examples of computer outputs for three of the most prevalent programs: Minitab, SPSS, and SAS.
●Progress Checks are introduced within chapter sections and are designed to minimize cumulative confusion. Each chapter ends with Review Questions.
●Questions have been selected to appeal to student interests and provide real-world examples such as a t-test analysis of global temperatures to evaluate a possible greenhouse effect (13.7).
●Appendix B supplies answers to questions marked with an asterisks while other appendices provide a practical math review complete with self-tests, a glossary, and tables of statistical distribution

商品描述(中文翻譯)

本書序言

●第8.4節更新了關於抽樣調查和隨機數字撥號的討論。

●新增第14.11節，討論「檔案抽屜效應」（file drawer effect），即不顯著的統計結果從未被發表，以及重複實驗的重要性。

●修訂了數字範例。

●全書新增範例和問題。

●電腦輸出和網站已更新。

本書特色

●基本概念和程序清晰解釋，特別努力澄清統計學中常被視為「神秘」的主題。

●避免不必要的數學計算繁瑣工作和微妙的技術區別，同時不犧牲準確性或現實性。

●單一範例貫穿整個章節，甚至幾個相關章節，作為新概念和程序的便捷參考框架。

●每章以預覽開始，以摘要結束，並附有重要術語和關鍵方程式的列表，以及複習問題。

●關鍵陳述以粗體字顯示，解決常態曲線問題等基本程序的逐步摘要以框框顯示。

●重要定義和關鍵點的提醒出現在頁邊。

●全書中散佈著三個最常用程式的電腦輸出範例：Minitab、SPSS和SAS。

●在章節中引入進度檢查，旨在減少累積混淆。每章以複習問題結束。

●問題的選擇旨在吸引學生興趣，並提供真實世界的範例，例如對全球氣溫進行t檢驗分析以評估可能的溫室效應（13.7）。

●附錄B提供標有星號的問題答案，而其他附錄則提供實用的數學回顧，包括自我測試、術語表和統計分佈表。

目錄大綱

1 Introduction
PART 1 Descriptive Statistics: Organizing and Summarizing Data
2 Describing Data with Tables and Graphs
3 Describing Data with Averages
4 Describing Variability
5 Normal Distributions and Standard (z) Scores
6 Describing Relationships: Correlation
7 Regression
PART 2 Inferential Statistics: Generalizing Beyond Data
8 Populations, Samples, and Probability
9 Sampling Distribution of the Mean
10 Introduction to Hypothesis Testing: The z Test
11 MORE ABOUT HYPOTHESIS TESTING
12 Estimation (Confidence Intervals)
13 t Test for One Sample
14 t Test for Two Independent Samples
15 t Test for Two Related Samples (Repeated Measures)
16 Analysis of Variance (One Factor)
17 Analysis of Variance (Repeated Measures)
18 Analysis of Variance (Two Factors)
19 Chi-Square (X2) Test For Qualitative (Nominal) Data
20 Tests for Ranked (Ordinal) Data
21 Postscript: Which Test?

目錄大綱(中文翻譯)

1 Introduction

PART 1 Descriptive Statistics: Organizing and Summarizing Data

2 Describing Data with Tables and Graphs

3 Describing Data with Averages

4 Describing Variability

5 Normal Distributions and Standard (z) Scores

6 Describing Relationships: Correlation

7 Regression

PART 2 Inferential Statistics: Generalizing Beyond Data

8 Populations, Samples, and Probability

9 Sampling Distribution of the Mean

10 Introduction to Hypothesis Testing: The z Test

11 MORE ABOUT HYPOTHESIS TESTING

12 Estimation (Confidence Intervals)

13 t Test for One Sample

14 t Test for Two Independent Samples

15 t Test for Two Related Samples (Repeated Measures)

16 Analysis of Variance (One Factor)

17 Analysis of Variance (Repeated Measures)

18 Analysis of Variance (Two Factors)

19 Chi-Square (X2) Test For Qualitative (Nominal) Data

20 Tests for Ranked (Ordinal) Data

21 Postscript: Which Test?

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