Statistics for Management and Economics

Häftad, Engelska, 2019

1 179 kr

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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.

Produktinformation

Utgivningsdatum2019-12-03
Mått195 x 31 x 260 mm
Vikt1 490 g
FormatHäftad
SpråkEngelska
Antal sidor784
Upplaga2
FörlagCengage Learning
ISBN9781473768260

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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.

About the AuthorsPrefaceKey FeaturesAcknowledgements1 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 building19 Non-parametric statistics20 Time series analysis and forecasting21 Statistical process control22 Decision analysis23 ConclusionAppendix ACreditsIndex