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Statistics
A Gentle Introduction

Third Edition
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June 2012 | 488 pages | SAGE Publications, Inc

With Statistics: A Gentle Introduction, Third Edition, an introductory stats class needn't be difficult or dull! This textbook has been specifically designed to curtail students' anxieties and minimize unnecessary formulas, while providing a comprehensive review of basic statistical designs and analyses. A wealth of additional real-world examples have been included to give a sense of how the science of statistics works, solves problems, and helps us make informed choices about the world we live in. The author minimizes the use of formulas, but provides a step-by-step approach to their solution, and includes a glossary of key terms, symbols, and definitions at the end of each chapter. Every chapter also includes a short story about historical and contemporary statisticians who figured prominently in the evolution of the discipline of statistics.

 

New to the Third Edition is the thorough incorporation of SPSS throughout, more visual material and figures, and an enhanced treatment of effect sizes, and more detailed explanation of statistical concepts.

 
Preface
 
Acknowledgments
 
About the Author
 
1. A Gentle Introduction
 
2. Descriptive Statistics: Understanding Distributions of Numbers
 
3. Statistical Parameters: Measures of Central Tendency and Variation
 
4. Standard Scores, the Z Distribution, and Hypothesis Testing
 
5. Inferential Statistics: The Controlled Experiment, Hypothesis Testing, and the z Distribution
 
6. An Introduction to Correlation and Regression
 
7. The t Test for Independent Groups
 
8. The t Test for Dependent Groups
 
9. Analysis of Variance (ANOVA): One-Factor Completely Randomized Design
 
10. After a Significant Analysis of Variance: Multiple Comparison Tests
 
11. Analysis of Variance (ANOVA): One-Factor Repeated-Measures Design
 
12. Analysis of Variance: Two-Factor Completely Randomized Design
 
13. Post Hoc Analysis of Factorial ANOVA
 
14. Factorial ANOVA: Additional Designs
 
15. Nonparametric Statistics: The Chi-Square Test
 
16. Other Statistical Parameters and Tests
 
Appendix A: z Distribution
 
Appendix B: t Distribution
 
Appendix C: Spearman's Correlation
 
Appendix D: The Chi-Square Distribution
 
Appendix E: F Distribution
 
Appendix F: Tukey's Table
 
References
 
Index

Supplements

Instructor Teaching Site
Instructor site includes a test bank, powerpoints, and the practice problem answers; student site includes flashcards.
Electronic Test Bank
A Respondus test bank is available for this text.

The book does exactly what it says on the tin, and delivers a gentle introduction into statistics with plenty of examples to illustrate both the procedures and the relevance of these methods in everyday life.

Mr Florian Reiche
Centre for Interdisciplinary Methodologies, Warwick University
August 6, 2014

A great introduction and overview for those with a terror of statistics! Illustrated with great real life examples to put the theory into context.

Mrs Jane Wood
Clothing Design & Technology, Manchester Metropolitan University
May 9, 2014

The Book is very nice but it I received it very late when the students had completed course work.
I do hope to introduce it for the next set of students who will take the course this year

Mr Peter Chiamogu
Public Administration, Federal Polytechnic Oko
March 21, 2014

Excellent introduction to both methods and historic development of Statstics for undergraduate students. Accessibly written and very practical.

Mr Felix Seyfarth
SHSS, Leitung Handlungskompetenz, University of St. Gallen
October 30, 2013

simplicity and clarity are the key principles in teaching and study statistics, and this book makes them so.

Dr Yaron Ariel
Communication, The Max Stern Academic College of Emek Yezreel
October 3, 2013

This book is very good in giving an overview on the essential statistics used in quantitative research methods. The information is guided and organized very well using questions which are normally asked by students. I would recommend this book for both students and junior lecturers as It helps in answering students questions.

Dr. Maryam Ba-Break

Dr Maryam Ba-Break
Nuffield Ctr for Int'l Health & Dev, Leeds University
September 19, 2013

Provides a good introduction to statistics for students who usually find other text books too 'heavy' to use.

Dr Joseph Vella
cor, University of Malta
August 15, 2013

This book (or at least parts of it) will be recommended as background reading for those law students who wish to understand how useful statistics can be both in terms of understanding the law (or indeed any social phenomenon) as well as how to use statistics (and statistical packages, such as SPSS) for the purposes of research and presentation. The book really is a gentle introduction and is should be accessible for most undergraduates. I thoroughly recommend this to anyone who has come across statistics and want to understand its power.

Mr Per Laleng
Kent Law School, University of Kent
August 13, 2013

The book was not appropriately geared towards the level of students I will be teaching. While the information was appropriately presented, it was not the ideal choice.

Mrs Heather Morris
School Of Social Work, Virginia Commonwealth University
April 23, 2013

Thiis book did what it said on the cover: a gentle introduction to statistics.
Well laid out, with enough worked examples to explain the process without overwhelming the reader with non-relevant detail.
I have added it to my bookshelf of statistics books and I will recommend it to students.
Minor point - "3rd Edition" rather than "3e" would be clearer and less affected.

Dr Martin Campbell
School of Psychology, St Andrews University
November 29, 2012
Key features

New to the Third Edition

  • Incorporates SPSS throughout, with SPSS Lessons at end of chapters and plentiful screenshots for guidance
  • Includes many more tables, figures, diagrams, and pictures, adding to the book's accessibility
  • Updates coverage of effect sizes and confidence intervals to address the new reporting standards of the American Psychological Association
  • Sharpens theoretical discussions of a number of statistical concepts—such as levels of significance, degrees of freedom, and multiple comparison tests—based on reviewer and student feedback

Key Features

  • Includes numerous examples that help make statistics engaging and relevant, helping students connect statistics to real-world research
  • Features a History Trivia box in each chapter, helping make statistics come to life
  • Provides end-of-chapter exercises including Practice Problems and SPSS Lessons

For the first time, I have incorporated the Statistical Package for the Social Sciences (SPSS) software into the textbook. There are also many more tables, figures, diagrams, and pictures throughout the manuscript. There is enhanced treatment of effect sizes, and I have sharpened some of the theoretical points about statistical concepts. My students and I have corrected errors that were in the second edition, and I have included many of the suggestions and comments of the dedicated and careful reviewers of the drafts of the third edition. Specific changes to the chapters include the following:

· Chapter 1: The section on the data scales used in empirical measurement (nominal, ordinal, interval, and ratio) has been updated. The chapter also begins the SPSS lesson by covering such basic functions as opening the program, creating data files, changing variable display format, and so on.

· Chapter 2: The section on "chart junk" has been expanded, and an SPSS lesson on frequency distributions, bar charts and histograms, skewness and kurtosis, and describing data has been added.

· Chapter 3: The explanation on calculating the correct theoretical median when there is an even number of identical scores in the set has been amplified and refined, as has the section on using standard deviations for predictions. The SPSS lesson for this chapter encompasses measures of central tendency and variation statistics.

· Chapter 4: The section on using z distributions to text experimental hypotheses has been refined, and an SPSS lesson on converting raw scores to z scores and z scores to T scores has been added.

· Chapter 5: This chapter has been updated to address the reporting standards of the American Psychological Association (APA) for effect sizes and confidence intervals. APA guidelines for the interpretation and reporting of trends has also been added, as has a mention of the issues surrounding Null Hypothesis Significance Testing (NHST). The SPSS lesson for this chapter addresses cases, variables, and analysis conditions.

· Chapter 6: The revisions to this chapter refine the explanations of levels of significance, abuse of power, and interpreting scatterplots. The SPSS lesson for this chapter covers the Pearson product-moment correlation coefficient and scatterplots.

· Chapters 7 and 8: These null and alternative hypotheses for these chapters have been updated with more intuitive versions of their subscripts and explanations of those subscripts. There is an expanded explanation of the steps needed to determine significance for t tests. A measure of effect size, Cohen's d, has been added, as has Cohen's recommended guidelines for interpreting Cohen's d. The SPSS lessons for these chapters cover t tests for independent and dependent groups.

· Chapter 9: The explanation for determining the degrees of freedom has been refined, and the explanation of Type I error has been expanded. A measure of effect size, omega-squared, has been added, as has Cohen's recommended guidelines for interpreting omega-squared. The section on the theoretical outcome of the derived F value if the null hypothesis is true has been refined. Alternative names used for the 1-factor completely randomized analysis of variance (ANOVA) test have been provided, and the SPSS lesson for this chapter shows how to perform this test.

· Chapter 10: The discussion of multiple comparison tests has been updated, as has the explanation for computing Tukey's Highly Significant Differences (HSD) test. A summary table format commonly used for presenting Tukey's results has been added. The accompanying SPSS lesson shows how to perform multiple comparison tests.

· Chapters 11 and 12: The sections on interpreting the results of 1-factor repeated measures ANOVA and 2-factor completely randomized ANOVA have been updated and expanded. The test material for Chapter 11 has been updated for accuracy. The SPSS lessons for these chapters cover performing 1-factor repeated measures ANOVA and 2-factor completely randomized ANOVA using SPSS.

· Chapter 13: The explanation of why multiple comparison tests are not required for 2-level main effects has been updated, as has the explanation on when a multiple comparison test is needed. Additional plot graphs provide graphical representations of pairwise comparisons to aid their interpretation. The accompanying SPSS lesson focuses on performing a post hoc test for factorial ANOVA.

· Chapter 14: The test material for Chapter 14 has been updated for accuracy. The SPSS lesson shows how to perform ANOVA tests for the split plot and 2-factor repeated measures design.

· Chapter 15: The section on reporting chi-square has been expanded, and the accompanying SPSS lesson details the performance of the chi-square test.

· Chapter 16: This chapter has been revised for accuracy and updated for currency.

Sample Materials & Chapters

toc

ch 1

ch 3


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