Berenson’s fresh, conversational writing style and streamlined design helps students with their comprehension of the concepts and creates a thoroughly readable learning experience. Basic Business Statistics emphasises the use of statistics to analyse and interpret data and assumes that computer software is an integral part of this analysis.
Berenson’s ‘real world’ business focus takes students beyond the pure theory by relating statistical concepts to functional areas of business with real people working in real business environments, using statistics to tackle real business challenges.
BREAK THROUGH to better results with MyMathLab Global
Basic Business Statistics
may also be packaged with MyMathLab Global
, a personalised, interactive teaching and learning experience that integrates homework, tutorial assistance, guided solutions and eBook content with unlimited practice.
PART 1 PRESENTING AND DESCRIBING INFORMATION
1 Introduction and data collection
2 Presenting data in tables and charts
3 Numerical descriptive measures
PART 2 MEASURING UNCERTAINTY
4 Basic probability
5 Some important discrete probability distributions
6 The normal distribution and other continuous
7 Sampling distributions
PART 3 DRAWING CONCLUSIONS ABOUT POPULATIONS BASED ONLY ON SAMPLE INFORMATION
8 Confidence interval estimation
9 Fundamentals of hypothesis testing: One-sample tests
10 Hypothesis testing: two sample tests
11 Analysis of variance
PART 4 DETERMINING CAUSE AND MAKING RELIABLE FORECASTS
12 Simple linear regression
13 Introduction to multiple regression
14 Time-series forecasting and index numbers
15 Chi-square tests
Australasian approach. Through the use of detailed conceptual explanations and engaging local examples and cases, the text makes statistics comprehensible, relevant and enjoyable to students.
Key formulas are located at the end of each chapter, and at the end of the text, to aid revision.
Real people, real stats interviews open each part. These introduce real people working in real business environments, using statistics to tackle real business challenges.
Motivating real world business scenarios. Each chapter begins with a scenario that shows how statistics are used in the functional areas of business–accounting, finance, information systems, management, and marketing. Each scenario is used throughout the chapter to provide an applied context for the concepts.
Using Statistical software. The text and student resources showcase the most common packages used in the business world, providing the step-by-step instructions necessary to perform most statistical analyses using the most current version of Excel, Minitab and SPSS.
Emphasis on data analysis and interpretation. Output from Excel is featured within each chapter, allowing students to focus on interpreting the software output to make informed business decisions.
End-of–part problems allow students to decide on the statistical approach to use in a problem that encompasses more than just one chapter’s learning. This provides opportunities to bring all the concepts together and presents a more realistic scenario that students would experience in a business environment.
Ethical issues sections are integrated into many chapters, raising issues for ethical consideration.
Learning and Teaching Tools
Basic Business Statistics 3rd edition is accompanied by a complete package of supplementary instructor and student resources.
· Instructor (Solutions) Manual – chapter orientations, chapter outlines and answers to all end-of-chapter questions in the text.
· Computerised TestBank - Each chapter contains a substantial number of true–false, multiple-choice, short-answer, essay and matching questions. All questions have solutions, and the multiple-choice questions have been graded according to levels of difficulty.
· PowerPoint Presentations are available for each chapter, making it easy to deliver key concepts in class.
· Fusion Documentary Series – student-friendly Australian videos that bring the ideas to life. Each is designed to motivate students in class and highlight the relevance of statistics in everyday business.
· Australasian and Pacific data sets – each data set used for the problems in each chapter are available online.
Judith Watson teaches in the Australian School of Business at the University of New South Wales. She has extensive experience in lecturing and administering undergraduate and postgraduate
Quantitative Methods courses. Judith’s keen interest in student support led her to establish the Peer Assisted Support Scheme (PASS) in 1996 and she has coordinated this program for many years. She served as her faculty’s academic adviser from 2001 to 2004 and was a recipient of the inaugural Australian School of Business Outstanding Teaching Innovations Award in 2008. She
is interested in using online learning technology to engage students and has created a number of adaptive e-learning tutorials for mathematics and statistics.
DR NICOLA JAYNE
Nicola Jayne is a lecturer in the Southern Cross Business School at the Lismore campus of Southern Cross University. She has been teaching in the quantitative units since being appointed to the university in 1993 after several years teaching at Massey University in New Zealand. Nicola has lectured extensively in Business and Financial Mathematics, Discrete Mathematics and Statistics, both undergraduate and postgraduate, as well as various Pure Mathematics units. Her academic qualifications from Massey University include a Bachelor of Science (majors in Mathematics and Statistics), a Bachelor of Science with Honours (first class) and a Doctor of Philosophy, both in Mathematics. Nicola also has a Graduate Certificate in Higher Education (Learning & Teaching) from Southern Cross University. She was the recipient of a Vice Chancellor’s Citation for an Outstanding Contribution to Student Learning in 2011.
DR MARTIN O’BRIEN
Dr Martin O’Brien is a senior lecturer and Associate Head of the School of Economics at the University of Wollongong. Martin earned his Bachelor of Commerce (firstclass honours) and PhD in Economics at the University of Newcastle. Martin’s PhD and subsequent published research is in the general area of labour economics, and specifically the exploration of older workers’ labour force participation in Australia in the context of an ageing society. He has taught a wide range of quantitative subjects at university level including business statistics, quantitative analysis for decision making, econometrics, financial modelling business research methods , as well as quality management. Martin also has a keen interest in the development of new teaching technologies and the analysis of alternative teaching methods such as practice into theory.
About the Originating Authors:
Mark L. Berenson is a professor of Management and Information Systems at Montclair State University (Montclair, New Jersey) and also Professor Emeritus of Statistics and Computer Information Systems at Bernard M. Baruch College (City University of New York). Over the years, Mark has received several awards for teaching and for innovative contributions to statistics education. In 2005 he was the first recipient of the Catherine A. Becker Service for Educational Excellence Award at Montclair State University.
David M. Levine is Professor Emeritus of Statistics and Computer Information Systems at Bernard M. Baruch State University. He is nationally recognised as a leading innovator in statistics education and is the co-author of 14 books, including the best-selling Statistics for Managers Using Microsoft Excel. Timothy C. Krehbiel is Professor of Decision Sciences and Management Information Systems at the Farmer School of Business at Miami University in Oxford, Ohio. In 1996 he received the prestigious Instructional Innovation Award from the Decision Sciences Institute. Tim’s research interests span all areas of business and applied statistics.