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Statistics for Business and Economics 5th edition


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Statistics for Business and Economics 5th edition

Paperback by Anderson, David (University of Cincinnati); Cochran, James (University of Alabama); Shoesmith, Eddie (University of Buckingham, UK); Sweeney, Dennis (University of Cincinnati); Freeman, James (Manchester Business School, UK); Camm, Jeffrey (Wake Forest University); Williams, Thomas (Rochester Institute of Technology)

Statistics for Business and Economics

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ISBN:
9781473768451
Publication Date:
4 Feb 2020
Edition/language:
5th edition / English
Publisher:
Cengage Learning EMEA
Pages:
640 pages
Format:
Paperback
For delivery:
New product available - 9781473791350
Statistics for Business and Economics

Description

With its application-oriented approach, the fifth EMEA edition of Statistics for Business and Economics teaches students the core concepts of statistics in the fields of business, management and economics, with the needs of the non-mathematician in mind. The authors interweave statistical methodology with applications of data analysis to enrich students? understanding of how statistics underpin problem-solving and decision-making. Students develop a computational foundation and learn to use various techniques before moving on to statistical application and interpretation. At the end of each section, exercises focus on computation and use of formulas, while application exercises require students to apply what they have learnt to real-world problems. WebAssign is available with this title, a powerful digital solution designed by educators to enrich the teaching and learning experience. WebAssign provides extensive content, instant assessment and superior support.

Contents

Book contents Preface Acknowledgements About the authors 1 Data and statistics 2 Descriptive statistics: tabular and graphical presentations 3 Descriptive statistics: numerical measures 4 Introduction to probability 5 Discrete probability distributions 6 Continuous probability distributions 7 Sampling and sampling distributions 8 Interval estimation 9 Hypothesis tests 10 Statistical inference about means and proportions with two populations 11 Inferences about population variances 12 Tests of goodness of fit and independence 13 Experimental design and analysis of variance 14 Simple linear regression 15 Multiple regression 16 Regression analysis: model building 17 Time series analysis and forecasting 18 Non-parametric methods Online contents 19 Index numbers 20 Statistical methods for quality control 21 Decision analysis 22 Sample surveys ?Chapter Software Sections for EXCEL, MINITAB, SPSS and R ?Appendix A: References and bibliography ?Appendix B: Tables ?Appendix C: Summation Notation ?Appendix D: Answers to even-numbered exercises and fully worked solutions to exercises flagged with the SOLUTIONS icon.

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