Business Statistics Using Excel and SPSS - Lee, Nick
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Présentation Business Statistics Using Excel And Spss Format Broché
- Livre Économie
Résumé : 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 :
Biographie:
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?.?
Sommaire:
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
Détails de conformité du produit
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