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'. Mike Peters is Director of Engineering and Applied Science Foundation Programmes at Aston University, a chartered mathematician, a fellow of The Institute of Mathematics and its Applications and a senior fellow of the Higher Education Academy.
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Description
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
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 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 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