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作者：Witte |
年份：2010年 9版 |
ISBN：9780470392225 |
書號：PS0363HC |
規格：精裝/套色 |
頁數：574 |
出版商：John Wiley |
定價：$1,280元 |
線上價：$1,152元 |
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| Basic concepts and procedures are explained in plain English, 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 entire 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. The two-color format highlights topic headings and important formulas, keys step-by-step computational instructions to actual computations, and adds an extra dimension to illustrations. Key statements appear in bold type, and step-by-step summaries of important 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. |
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Robert S. Witte, San Jose State Univ. (Professor Emeritus)
John S. Witte, University of California, San Francisco |
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1 Introduction
PART I Descriptive Statistics
2 Describing Data with Tables and Graphs
3 Describing Data with Averages
4 Describing Variability
5 Normal Distributions and Standard Scores (z)
6 Describing Relationships: Correlation
7 Regression
PART II Inferential Statistics
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?
Appendices
A Math Review
B Answers to Selected Questions
C Tables
D Glossary |
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