Statistical methods for business and economics / Gert Nieuwenhuis.
Material type:
TextPublisher: Maidenhead : McGraw-Hill Higher Education 2009Description: xxii, 963 p. ; 26 cmISBN: 9780077109875 (pbk); 0077109872 (pbk)Subject(s): Commercial statistics | Statistics -- Data processing | Economics -- Statistical methodsDDC classification: 519.5 LOC classification: QA276.18 | .N53 2009Summary: "Statistical Methods for Business and Economics" aims to provide an introduction to the key methods and techniques essential to a typical statistics syllabus, whilst also helping students to develop the skills needed to analyse, interpret and prepare data for use in business, economics and related disciplines. Covering the essential methods required at undergraduate level, the book is structured into four parts that deal with descriptive statistics, probability, sample theory and inferential statistics, taking students from the basics through to more advanced topics such as multiple linear regression. This comprehensive book is ideal for student of statistics at undergraduate level taking an introductory module in the topic.-Publisher description.
| Item type | Current library | Call number | Copy number | Status | Notes | Date due | Barcode |
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Female Library | QA276.18 .N53 2009 (Browse shelf (Opens below)) | 1 | Available | MISSING | 51952000104513 | |
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Main Library | QA276.18 .N53 2009 (Browse shelf (Opens below)) | 1 | Available | STACKS | 51952000129899 |
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| QA276.12 .U75 2010 Statistics in plain English / | QA276.12 W45 2008 Introductory statistics / | QA276.15 .S754 2016 The seven pillars of statistical wisdom / | QA276.18 .N53 2009 Statistical methods for business and economics / | QA276.19 .S74 2009 Beginning statistics / | QA276.4 .C53 2006 Applied statistics and the SAS® programming language / | QA276.4 .E376 2016 Computer age statistical inference : algorithms, evidence, and data science / |
Includes index.
"Statistical Methods for Business and Economics" aims to provide an introduction to the key methods and techniques essential to a typical statistics syllabus, whilst also helping students to develop the skills needed to analyse, interpret and prepare data for use in business, economics and related disciplines. Covering the essential methods required at undergraduate level, the book is structured into four parts that deal with descriptive statistics, probability, sample theory and inferential statistics, taking students from the basics through to more advanced topics such as multiple linear regression. This comprehensive book is ideal for student of statistics at undergraduate level taking an introductory module in the topic.-Publisher description.
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