Quantitative methods : an active learning approach / Graham Hackett and David Caunt.
Material type: TextPublication details: Oxford, OX, UK ; Cambridge, Mass., USA : Blackwell Business, 1994.Description: xviii, 870 p. : ill. ; 25 cmISBN:- 0631195378 (alk. paper)
- 650/.01/5 B 20
- HF5691 .H22 1994
Item type | Current library | Call number | Copy number | Status | Barcode | |
---|---|---|---|---|---|---|
Books | Library First Floor | HF5691 .H22 1994 (Browse shelf(Opens below)) | 1 | Available | 3327 |
Browsing Library shelves, Shelving location: First Floor Close shelf browser (Hides shelf browser)
HF5691 .D43 2006 Contemporary Business Mathematics for Colleges / | HF5691 .F24 1980 Applied business mathematics / | HF5691 F733 2004 Business Mathematics and Statistics/ | HF5691 .H22 1994 Quantitative methods : an active learning approach / | HF5691.H85 H867 1994 Contemporary Business Mathematics: With Canadian Application/ | HF5691.H85 H867 1994 Contemporary Business Mathematics: With Canadian Application/ | HF5691 H867 1990 Contemporary Business Mathematics: With Canadian Applications/ |
At head of title: The Open Learning Foundation.
Includes bibliographical references.
1. Basic Mathematics. 2. Business Mathematics. 3. Data Presentation. 4. Linear Programming. 5. Regression and Correlation. 6. Probability. 7. Probability Distributions. 8. Sampling. 9. Index Numbers and Time Series.
Quantitative Methods is part of a new national programme of highly developed texts and modules for undergraduate business programmes, to be published by Blackwell Business in association with the Open Learning Foundation. The text introduces a knowledge of quantitative methods which will enable students to process numerical information of the type and style found in the business environment. It emphasizes the practical application of quantitative methods to business decision-making. A rudimentary knowledge of mathematics is assumed, but an additional unit is included on basic mathematics which is suitable for those students who enrol on a business studies course without formal mathematics qualifications. Topics covered include:Foundation mathematics.Data presentation.Regression and correlation analysis.Probability.Sampling theory.Index numbers and time series.
There are no comments on this title.