Statistics for Management and Economics
2nd Edition
Published on 3. December 2019
Book
Paperback/Softback
784 pages
978-1-4737-6826-0 (ISBN)
Description
The established text Statistics for Management and Economics delivers an accessible and comprehensive overview for business students across the UK, Europe, the Middle East and Africa. With a wealth of examples and real data, this statistics textbook is essential reading for all business, management and economics courses at undergraduate and MBA level.
Keller's practical three-step approach to problem-solving demonstrates how statistics are vital for today's managers and economists: it teaches students how to identify the correct technique for a problem or data type, compute the statistics and how to interpret the results meaningfully, equipping them with the practical skills they need in a world of big data, data visualization and social media.
Keller's practical three-step approach to problem-solving demonstrates how statistics are vital for today's managers and economists: it teaches students how to identify the correct technique for a problem or data type, compute the statistics and how to interpret the results meaningfully, equipping them with the practical skills they need in a world of big data, data visualization and social media.
More details
Edition
2nd edition
Language
English
Place of publication
London
United Kingdom
Target group
College/higher education
Dimensions
Height: 261 mm
Width: 197 mm
Thickness: 35 mm
Weight
1367 gr
ISBN-13
978-1-4737-6826-0 (9781473768260)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Persons
Gerald Keller is emeritus professor of business at Wilfrid Laurier University, where he taught statistics, management science and operations management from 1974 to 2011. Dr Nicoleta Gaciu is Senior Lecturer in Education at Oxford Brookes University and she has worked as a senior consultant within the finance world. She is currently teaching Research Methods, Statistics and AI in Education. Nicoleta is a member of the Institute of Physics (MInstP), Fellow of Higher Education Academy (FHEA) and Convenor for BERA Science Education SIG.
Content
About the Authors
Preface
Key Features
Acknowledgements
1 What is statistics?
2 Graphical descriptive techniques I
3 Graphical descriptive techniques II
4 Numerical Descriptive Techniques
5 Data collection and sampling
6 Probability
7 Random variables and discrete probability distributions
8 Continuous probability distributions
9 Sampling distributions
10 Introduction to estimation
11 Introduction to hypothesis testing
12 Inference about a population
13 Inference about comparing two populations
14 Analysis of variance
15 Chi-squared tests
16 Simple linear regression and correlation
17 Multiple regression
18 Model building
19 Non-parametric statistics
20 Time series analysis and forecasting
21 Statistical process control
22 Decision analysis
23 Conclusion
Appendix A
Credits
Index
Preface
Key Features
Acknowledgements
1 What is statistics?
2 Graphical descriptive techniques I
3 Graphical descriptive techniques II
4 Numerical Descriptive Techniques
5 Data collection and sampling
6 Probability
7 Random variables and discrete probability distributions
8 Continuous probability distributions
9 Sampling distributions
10 Introduction to estimation
11 Introduction to hypothesis testing
12 Inference about a population
13 Inference about comparing two populations
14 Analysis of variance
15 Chi-squared tests
16 Simple linear regression and correlation
17 Multiple regression
18 Model building
19 Non-parametric statistics
20 Time series analysis and forecasting
21 Statistical process control
22 Decision analysis
23 Conclusion
Appendix A
Credits
Index