Business Statistics Using EXCEL and SPSS
Autor Nick Lee, Mike Petersen Limba Engleză Paperback – 29 dec 2015
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.
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Specificații
ISBN-13: 9781848602205
ISBN-10: 1848602200
Pagini: 584
Dimensiuni: 195 x 265 x 33 mm
Greutate: 1.23 kg
Ediția:1
Editura: SAGE Publications
Colecția Sage Publications Ltd
Locul publicării:London, United Kingdom
ISBN-10: 1848602200
Pagini: 584
Dimensiuni: 195 x 265 x 33 mm
Greutate: 1.23 kg
Ediția:1
Editura: SAGE Publications
Colecția Sage Publications Ltd
Locul publicării:London, United Kingdom
Recenzii
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.
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.
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.
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.
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.
Cuprins
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
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
Notă biografică
Nick Lee is Professor of Sales and Management Science at Loughborough University¿s School of Business Economics, Editor in Chief of The European Journal of Marketing, and was featured in The Times as ¿one of the 15 scientists whose work will shape the future¿.
Descriere
An accessible guide showing how and why techniques in quantitative analysis are useful in business contexts. It comes with access to data sets and answers to student exercises, as well as a downloadable workbook containing a series of exercises to help students learn.