Australasian Business Statistics

ISBN-13: 9780730312932 / Angielski / Miękka / 2015 / 640 str.

Black, Ken; Asafu–Adjaye, John; Burke, Paul

Opis

Data–driven decisions are driving the global knowledge economy. To get the edge, graduates need the power of statistical analysis to create business insight. This fourth edition of Australasian Business Statistics empowers you to make informed decisions based on real world issues.

Spis treści

About the authors xi

Key features xiii

Real–world issues at a glance xiv

Acknowledgements xv

CHAPTER 1 introduction to statistics 1

CHAPTER 2 Charts and graphs 13

CHAPTER 3 Descriptive summary measures 47

CHAPTER 4 Probability 93

CHAPTER 5 Discrete distributions 135

CHAPTER 6 the normal distribution and other continuous distributions 169

CHAPTER 7 sampling and sampling distributions 193

CHAPTER 8 statistical inference: estimation for single populations 227

CHAPTER 9 statistical inference: hypothesis testing for single populations 261

CHAPTER 10 statistical inferences about two populations 311

CHAPTER 11 Analysis of variance and design of experiments 367

CHAPTER 12 Chi–square tests 409

CHAPTER 13 simple regression analysis 435

CHAPTER 14 Multiple regression analysis 479

CHAPTER 15 time–series forecasting and index numbers 513

Chapter case revisited: Forecasting at Combaro Ltd 559

Summary 562

Key terms 563

Key equations 563

Review problems 564

Appendix: Tables 569

Sources 605

Glossary 609

Index 615

O autorze

Ken Black is Professor of Decision Sciences in the School of Business and Public Administration at the University of Houston Clear Lake. He earned a Bachelor of Arts in mathematics from Graceland College; a Master of Arts in mathematics education from the University of Texas at El Paso; a Doctor of Philosophy in business administration  in management science; and a Doctor of Philosophy in educational research from the University of North Texas.
Ken has taught all levels of statistics courses: forecasting, management science, market research and production/operations management. He has published 20 journal articles, over 20 professional papers and two textbooks: Business statistics: an introductory course and Business statistics: for contemporary decision making. Ken has consulted for many different companies, including Aetna, the City of Houston, NYLCare, AT&T, Johnson Space Centre, Southwest Information Resources, Connect Corporation and Eagle Engineering.

John Asafu–Adjaye is an Associate Professor in the School of Economics at the University of Queensland (UQ). He obtained a Bachelor of Science (Honours) in agricultural economics from the University of Ghana and then earned a Master of Science in operations research from the Aston Business School, UK. He completed a Doctor of Philosophy in natural resource economics at the University of Alberta, Edmonton, Canada.
At UQ John teaches business and economic statistics at both the undergraduate and postgraduate levels. His research activities include policy analysis of economic and environmental issues in Africa and the Asia Pacific region. John is the author or co–author of over 80 researchbased publications, including 7 books and monographs, 5 book chapters, 63 peer–reviewed journal articles and 11 commissioned reports.

Paul Burke is a Research Fellow in the School of Marketing and Centre for the Study of Choice (CenSoC) at the University of Technology Sydney (UTS). He obtained a Bachelor of Economic (First Class Honours in Marketing) from the University of Sydney. He holds a Doctor of Philosophy and Graduate Certificate in Higher Education Teaching & Learning from UTS. Paul has won teaching awards for his work in business statistics and large class teaching from UTS as well as national recognition with citations from the Carrick Institute and the Australian Learning Teaching Council. He has published in many international journals including Research Policy, Educational Researcher, International Journal of Research in Marketing, Journal of Operations Management and Journal of Product Innovation Management. His research interests are in choice modelling, experimental design and consumer behaviour applied in the fields of education, ethical consumerism and innovation. He has been chief investigator on many large–scale grants including Discovery and Linkage grants from the Australian Research Council (ARC), working with many international companies and organisations.

Nazim Khan is a Lecturer and Consultant in the School of Mathematics and Statistics at the University of Western Australia. He earned a Bachelor of Engineering in electrical engineering from the University of Western Australia, a Technical Teachers Certificate from the Fiji Institute of Teaching, and a Bachelor of Science (Honours) in mathematics and a Doctor of Philosophy from the University of Western Australia.
Nazim has taught decision theory at the MBA level, financial mathematics, forecasting and statistics. Nazim is an active researcher in statistics and applications. He has also presented several papers and published several articles in mathematics and statistics education. Nazim has consulted for various companies and research groups in his capacity as Consultant with the UWA Statistical Consulting Group.

Andrew Papadimos is a Lecturer in international business, statistics and economics on the Brisbane campus of Australian Catholic University. His main research interests are the Chinese economy and International Business in the Asia Pacific region. Apart from a PhD in International Relations and Economics, Andrew also has a Masters in Applied Law from the University About the authors of Queensland, and a Graduate Certificate in Higher Education from ACU. Andrew has lived and worked for many years in Taiwan and the People s Republic of China, and is fluent in speaking and reading Mandarin Chinese. He has also had a great deal of real–world experience with international business, having acted as a consultant on the Chinese economic and legal climate for international corporations conducting business with China.

Carl Sherwood is a Lecturer in the School of Economics at the University of Queensland. He obtained a Bachelor of Engineering (Civil), Master of Business Administration (MBA) and a Graduate Certificate in Higher Education from the University of Queensland. With twenty years of professional experience as an engineer, Carl has crafted his teaching by capturing this wealth of business experience to make courses relevant to students.
Carl has been teaching a variety of subjects at the University of Queensland for more than a decade. He has primarily concentrated on teaching statistics, at both the undergraduate and postgraduate level, as well as teaching business economics to managers studying at MBA level. As a result of his teaching efforts, Carl has won the University of Queensland School of Economics Teaching Excellence Award on four occasions, a University of Queensland Citation for Outstanding Contributions to Student Learning and a National Teaching Citation for Outstanding Contributions to Student Learning. One of Carl s areas of research centres on exploring how statistics can be made more meaningful, practical and engaging for students.

Saleh A. Wasimi is an Associate Professor at Central Queensland University, Melbourne, Australia. He earned his Doctor of Philosophy degree from the University of Iowa, US, and his Masters and Bachelor degrees in water resources engineering from Bangladesh University of Engineering & Technology, Dhaka. He has worked in Bangladesh, the US and Australia as an academic and has conducted research and consultancy works in those countries as well as in Italy, Denmark, Sweden and Ireland. Saleh s current research interests include stochastic processes, optimisation, water resources planning and development, disaster management, hydrology, and hydraulics. He has authored in excess of 50 refereed articles and won awards for his publications.

Blurb

real applications

real decisions

Is government investment into childcare more effective than paid parental leave in increasing women s workforce participation?

Are adolescents who play video games more likely to gamble?

How has the Australian Medical Association determined that rural Queenslanders are heavier than their city–dwelling counterparts?

Data–driven decisions are driving the global knowledge economy. To get the edge, graduates need the power of statistical analysis to create business insight. This fourth edition of Australasian Business Statistics empowers you to make informed decisions based on real–world issues. The cross–functional author team has channelled their expertise to create a concise 15–chapter structure that empowers students with the quantitative analysis techniques they need to succeed in tomorrow s business world. It also provides examples from the local
region, real business issues and applications.

Australasian Business Statistics, Fourth edition, provides students with a highly practical problem–solving approach to prepare them for the real business world.

Statistical techniques used in business are comprehensively covered.
Data analysis using Excel is integrated throughout the text.
Local examples are used to demonstrate the importance of statistics
in business.
Opening vignette features show the relevance of statistics and how data is used in business through a series of local case studies.
Misuse of Statistics helps you avoid the pitfalls of using statistics incorrectly in business scenarios.