David Anderson, James Cochran, Eddie Shoesmith

Statistics for Business and Economics

• Broschiertes Buch

Produktbeschreibung

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.

Produktdetails

• Verlag: Cengage Learning EMEA
• 5. Aufl.
• Seitenzahl: 640
• Erscheinungstermin: 4. Februar 2020
• Englisch
• Abmessung: 262mm x 198mm x 25mm
• Gewicht: 1095g
• ISBN-13: 9781473768451
• ISBN-10: 1473768454
• Artikelnr.: 58660397

Autorenporträt

David R. Anderson is Professor Emeritus of Quantitative Analysis in the College of Business Administration at the University of Cincinnati. He earned his BS, MS and PhD degrees from Purdue University. Professor Anderson has served as Head of the Department of Quantitative Analysis and Operations Management and as Associate Dean of the College of Business Administration at the University of Cincinnati. In addition, he was the coordinator of the College s first Executive Program. At the University of Cincinnati, Professor Anderson has taught introductory statistics for business students as well as graduate-level courses in regression analysis, multivariate analysis and management science. He has also taught statistical courses at the Department of Labor in Washington, D.C. He has been honoured with nominations and awards for excellence in teaching and excellence in service to student organizations. Professor Anderson has co-authored 10 textbooks in the areas of statistics, managemen

t science, linear programming and production and operations management. He is an active consultant in the field of sampling and statistical methods.

Inhaltsangabe

Book contentsPreface AcknowledgementsAbout the authors1 Data and statistics 2 Descriptive statistics: tabular and graphical presentations3 Descriptive statistics: numerical measures4 Introduction to probability5 Discrete probability distributions6 Continuous probability distributions7 Sampling and sampling distributions8 Interval estimation9 Hypothesis tests10 Statistical inference about means and proportions with two populations11 Inferences about population variances12 Tests of goodness of fit and independence13 Experimental design and analysis of variance14 Simple linear regression15 Multiple regression16 Regression analysis: model building17 Time series analysis and forecasting18 Non-parametric methodsOnline contents19 Index numbers20 Statistical methods for quality control21 Decision analysis22 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.