Business Statistics Using EXCEL and SPSS
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Takes the challenging and makes it understandable. The book contains useful advice on the application of statistics to a variety of contexts and shows how statistics can be used by managers in their work.' - Dr Terri Byers, Assistant Professor, University Of New Brunswick, Canada
A book about introductory quantitative analysis, the authors show both how and why quantitative analysis is useful in the context of business and management studies, encouraging readers to not only memorise the content but to apply learning to typical problems.
Fully up-to-date with comprehensive coverage of IBM SPSS and Microsoft Excel software, the tailored examples illustrate how the programmes can be used, and include step-by-step figures and tables throughout. A range of ‘real world’ and fictional examples, including "The Ballad of Eddie the Easily Distracted" and "Esha's Story" help bring the study of statistics alive.
A number of in-text boxouts can be found throughout the book aimed at readers at varying levels of study and understanding
An ideal resource for undergraduates taking introductory statistics for business, or for anyone daunted by the prospect of tackling quantitative analysis for the first time.
A book about introductory quantitative analysis, the authors show both how and why quantitative analysis is useful in the context of business and management studies, encouraging readers to not only memorise the content but to apply learning to typical problems.
Fully up-to-date with comprehensive coverage of IBM SPSS and Microsoft Excel software, the tailored examples illustrate how the programmes can be used, and include step-by-step figures and tables throughout. A range of ‘real world’ and fictional examples, including "The Ballad of Eddie the Easily Distracted" and "Esha's Story" help bring the study of statistics alive.
A number of in-text boxouts can be found throughout the book aimed at readers at varying levels of study and understanding
- Back to Basics for those struggling to understand, explain concepts in the most basic way possible - often relating to interesting or humorous examples
- Above and Beyond for those racing ahead and who want to be introduced to more interesting or advanced concepts that are a little bit outside of what they may need to know
- Think it over get students to stop, engage and reflect upon the different connections between topics
An ideal resource for undergraduates taking introductory statistics for business, or for anyone daunted by the prospect of tackling quantitative analysis for the first time.
Contents
About the Authors
About the Authors
Dedications
Dedications
Acknowledgements
Acknowledgements
Foreword: What is this book? How should you use it?
Foreword: What is this book? How should you use it?
Part 1: Demystifying Quantitative Analysis
- Chapter 1: Demystifying Quantitative Data Analysis
- Chapter 2: Gathering and Preparing Data
- Chapter 3: The Software Environment
- Chapter 4: Describing Your Data
- Chapter 5: Introduction to Probability
- Chapter 6: Random Variables and Probability Distributions
- Chapter 7: Sampling and Intervals
Part 2: Introduction to Statistical Inference Concepts and Methods
- Chapter 8: Statistical Hypothesis Testing
- Chapter 9: First Steps In Testing Relationships – Goodness of Fit and Independence Tests
- Chapter 10: Correlation and Regression
- Chapter 11: Regression Special Topics
- Chapter 12: Comparing Two Populations
- Chapter 13: Population Variances
Part 3: Specialist Topics in Quantitative Analysis
- Chapter 14: ANOVA
- Chapter 15: Time Series Models and Forecasting
- Chapter 16: Using Statistics for Quality Control
- Bibliography
- Appendix
Additional materials
Description
Takes the challenging and makes it understandable. The book contains useful advice on the application of statistics to a variety of contexts and shows how statistics can be used by managers in their work.' - Dr Terri Byers, Assistant Professor, University Of New Brunswick, Canada
A book about introductory quantitative analysis, the authors show both how and why quantitative analysis is useful in the context of business and management studies, encouraging readers to not only memorise the content but to apply learning to typical problems.
Fully up-to-date with comprehensive coverage of IBM SPSS and Microsoft Excel software, the tailored examples illustrate how the programmes can be used, and include step-by-step figures and tables throughout. A range of ‘real world’ and fictional examples, including "The Ballad of Eddie the Easily Distracted" and "Esha's Story" help bring the study of statistics alive.
A number of in-text boxouts can be found throughout the book aimed at readers at varying levels of study and understanding
An ideal resource for undergraduates taking introductory statistics for business, or for anyone daunted by the prospect of tackling quantitative analysis for the first time.
A book about introductory quantitative analysis, the authors show both how and why quantitative analysis is useful in the context of business and management studies, encouraging readers to not only memorise the content but to apply learning to typical problems.
Fully up-to-date with comprehensive coverage of IBM SPSS and Microsoft Excel software, the tailored examples illustrate how the programmes can be used, and include step-by-step figures and tables throughout. A range of ‘real world’ and fictional examples, including "The Ballad of Eddie the Easily Distracted" and "Esha's Story" help bring the study of statistics alive.
A number of in-text boxouts can be found throughout the book aimed at readers at varying levels of study and understanding
- Back to Basics for those struggling to understand, explain concepts in the most basic way possible - often relating to interesting or humorous examples
- Above and Beyond for those racing ahead and who want to be introduced to more interesting or advanced concepts that are a little bit outside of what they may need to know
- Think it over get students to stop, engage and reflect upon the different connections between topics
An ideal resource for undergraduates taking introductory statistics for business, or for anyone daunted by the prospect of tackling quantitative analysis for the first time.
Contents
About the Authors
About the Authors
Dedications
Dedications
Acknowledgements
Acknowledgements
Foreword: What is this book? How should you use it?
Foreword: What is this book? How should you use it?
Part 1: Demystifying Quantitative Analysis
- Chapter 1: Demystifying Quantitative Data Analysis
- Chapter 2: Gathering and Preparing Data
- Chapter 3: The Software Environment
- Chapter 4: Describing Your Data
- Chapter 5: Introduction to Probability
- Chapter 6: Random Variables and Probability Distributions
- Chapter 7: Sampling and Intervals
Part 2: Introduction to Statistical Inference Concepts and Methods
- Chapter 8: Statistical Hypothesis Testing
- Chapter 9: First Steps In Testing Relationships – Goodness of Fit and Independence Tests
- Chapter 10: Correlation and Regression
- Chapter 11: Regression Special Topics
- Chapter 12: Comparing Two Populations
- Chapter 13: Population Variances
Part 3: Specialist Topics in Quantitative Analysis
- Chapter 14: ANOVA
- Chapter 15: Time Series Models and Forecasting
- Chapter 16: Using Statistics for Quality Control
- Bibliography
- Appendix
Additional materials
Reviews
December 2015 | 584 pages | Sage UK
| Format | Published Date | ISBN | Price |
|---|
Takes the challenging and makes it understandable. The book contains useful advice on the application of statistics to a variety of contexts and shows how statistics can be used by managers in their work.' - Dr Terri Byers, Assistant Professor, University Of New Brunswick, Canada
A book about introductory quantitative analysis, the authors show both how and why quantitative analysis is useful in the context of business and management studies, encouraging readers to not only memorise the content but to apply learning to typical problems.
Fully up-to-date with comprehensive coverage of IBM SPSS and Microsoft Excel software, the tailored examples illustrate how the programmes can be used, and include step-by-step figures and tables throughout. A range of ‘real world’ and fictional examples, including "The Ballad of Eddie the Easily Distracted" and "Esha's Story" help bring the study of statistics alive.
A number of in-text boxouts can be found throughout the book aimed at readers at varying levels of study and understanding
An ideal resource for undergraduates taking introductory statistics for business, or for anyone daunted by the prospect of tackling quantitative analysis for the first time.
A book about introductory quantitative analysis, the authors show both how and why quantitative analysis is useful in the context of business and management studies, encouraging readers to not only memorise the content but to apply learning to typical problems.
Fully up-to-date with comprehensive coverage of IBM SPSS and Microsoft Excel software, the tailored examples illustrate how the programmes can be used, and include step-by-step figures and tables throughout. A range of ‘real world’ and fictional examples, including "The Ballad of Eddie the Easily Distracted" and "Esha's Story" help bring the study of statistics alive.
A number of in-text boxouts can be found throughout the book aimed at readers at varying levels of study and understanding
- Back to Basics for those struggling to understand, explain concepts in the most basic way possible - often relating to interesting or humorous examples
- Above and Beyond for those racing ahead and who want to be introduced to more interesting or advanced concepts that are a little bit outside of what they may need to know
- Think it over get students to stop, engage and reflect upon the different connections between topics
An ideal resource for undergraduates taking introductory statistics for business, or for anyone daunted by the prospect of tackling quantitative analysis for the first time.
Table Of Contents:
- About the Authors
- Dedications
- Acknowledgements
- Foreword: What is this book? How should you use it?
- Part 1: Demystifying Quantitative Analysis
- Chapter 1: Demystifying Quantitative Data Analysis
- Chapter 2: Gathering and Preparing Data
- Chapter 3: The Software Environment
- Chapter 4: Describing Your Data
- Chapter 5: Introduction to Probability
- Chapter 6: Random Variables and Probability Distributions
- Chapter 7: Sampling and Intervals
- Part 2: Introduction to Statistical Inference Concepts and Methods
- Chapter 8: Statistical Hypothesis Testing
- Chapter 9: First Steps In Testing Relationships – Goodness of Fit and Independence Tests
- Chapter 10: Correlation and Regression
- Chapter 11: Regression Special Topics
- Chapter 12: Comparing Two Populations
- Chapter 13: Population Variances
- Part 3: Specialist Topics in Quantitative Analysis
- Chapter 14: ANOVA
- Chapter 15: Time Series Models and Forecasting
- Chapter 16: Using Statistics for Quality Control
- Bibliography
- Appendix
Recent Product Reviews:
It is a technically well-written thorough text and at the same time easy read, which I am sure will be appreciated by both students new to SPSS and the professionals who need a quick refresh. The book covers the main theoretical concepts in enough depth to be used at both undergraduate and postgraduate levels (especially on MBA and DBA programmes), and at the same time supports the development of the skills needed to use one of the most widely used statistical programmes, not only in the business, but also in other social science disciplines. A read that I do not hesitate to recommend to any eager student of statistics.
Professor Zeljko Sevic, SJD, PhD, Prof. of Accounting, Finance and Public Policy Sohar University, Sultanate of Oman
This book offers readers huge support in relating theoretical concepts with practical issues. The authors take a caring approach and have a good understanding of what many business students need the most.
Dr Ozren Despic, Lecturer in Management Science, Aston Business School, United Kingdom
This book is taking the challenging and making it understandable. It contains useful advice on the application of statistics to a variety of contexts. I particularly like the focus on decision making and the point that understanding statistics can be useful for managers and help you in your work.
Dr Terri Byers, Assistant Professor, University of New Brunswick, Canada