Business Statistics Using Excel and SPSS

Entertaining and educational, this is a genuinely accessible introductory statistics book for first year business students trying to grasp the essential concepts and techniques of quantitative analysis, using IBM SPSS and Microsoft Excel software. It does not assume any background knowledge of mathematics or statistics, and presents the fundamentals of data analysis in an engaging and readable way. The authors show both how and why quantitative analysis is useful in the context of business and management studies and instill a fundamental sense of fun and enthusiasm for numbers by providing readers with an array of interesting and interactive examples and exercises. Key features include : A fully up-to-date and comprehensive coverage of IBM SPSS and Microsoft Excel software, with tailored examples to illustrate how the programmes can be used A range of 'real world' and fictional examples to help bring the study of stats alive and ground it in application to typical business situations 'Think it Over' boxes to help translate the concepts learnt about into practical knowledge Different boxes for readers at varying levels of study and understanding, such as the 'Back to Basics', 'Above and Beyond' and 'Attention to Detail' boxes End of chapter questions to help translate theory into application A range of online resources including a set of data files and templates for the reader following in-text examples, downloadable worksheets and instructor materials, answers to in-text exercises and video content. 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'. 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