Excel 2007 for Social Science Statistics

A Guide to Solving Practical Problems

• Thomas J. Quirk
Book

1. Front Matter
Pages i-xv
2. Thomas J. Quirk
Pages 1-20
3. Thomas J. Quirk
Pages 21-33
4. Thomas J. Quirk
Pages 35-62
5. Thomas J. Quirk
Pages 63-77
6. Thomas J. Quirk
Pages 79-105
7. Thomas J. Quirk
Pages 107-146
8. Thomas J. Quirk
Pages 147-163
9. Thomas J. Quirk
Pages 165-184
10. Back Matter
Pages 185-249

Introduction

This is the first book to show the capabilities of Microsoft Excel to teach social science statistics effectively.  It is a step-by-step exercise-driven guide for students and practitioners who need to master Excel to solve practical problems.  If understanding statistics isn’t your strongest suit, you are not especially mathematically-inclined, or if you are wary of computers, this is the right book for you.

Excel, a widely available computer program for students and managers, is also an effective teaching and learning tool for quantitative analyses in social science courses.  Its powerful computational ability and graphical functions make learning statistics much easier than in years past.  However, Excel 2007 for Social Science Statistics: A Guide to Solving Practical Problems is the first book to capitalize on these improvements by teaching students and managers how to apply Excel to statistical techniques necessary in their courses and work.

Each chapter explains statistical formulas and directs the reader to use Excel commands to solve specific, easy-to-understand problems.  Practice problems are provided at the end of each chapter with their solutions in an appendix.  Separately, there is a full Practice Test (with answers in an Appendix) that allows readers to test what they have learned.

Keywords

Applied Social Science Statistics Applied Statistics Excel 2007 Social Science Statistics Practical Social Science Statistics Social Science Statistics

Authors and affiliations

• Thomas J. Quirk
• 1
1. 1.Professor of MarketingWebster UniversitySt. LouisUSA

Bibliographic information

• DOI https://doi.org/10.1007/978-1-4614-3622-5