本书篇幅适中，内容安排层次分明。作者以决策树形式归纳的统计方法和统计步骤，有助于读者对统计知识的梳理和掌握。此外，本书附有学生版SRSS统计软件和若干数据资料，可供读者结合所学，进行相应的操作练习，以便在学习统计原理的同时熟悉统计软件，在运用统计的过程中加深对统计知识的理解和认识。

费里斯·里奇，美国阿拉巴马大学社会学系助理教授，主要研究领域为社会行为，医疗和公共卫生等。

Preface
1 The Statistical Imagination
2 Statisticval Analysis:Error Management and Control
3 Charts and Graphs:A Picture Says a Thousand Words
4 Measuring Averages
5 Measuring Dispersion of Spread in a Distribution of Scores
6 Probability Theory and the Normal Probability Distribution
7 Using Probability Theory to Produce Sampling Distributions
8 Parmeter Estimation Using Confidence Intervals
9 Hypothesis Testing
10 Single-Sample Hypotyesis Tests:Establishing the Representativeness of Samples
11 Bivariate Relationships:t-Test for Comparing the Means of Two Groups
12 Analysis of Varance:Differences among Means of Three of More Groups
13 Nominal Variables:The Chi-Square and Binormial Distributions
14 Correlationa and Regression:Part1:Concepts and Calcutions
15 Correlation and Regression:Part2:Hypothesis Testing and Aspects of a Relationship
16 Rand-Order Correlation between Two Ordinal Variables
Appendix A Review of Basic Mathematical Operations
Appendix B Staistical Probability Tables
Appendix C Answers to Selected Chaper Exercises
References
Index