Quantitative Methods: An Active Learning Approach

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.

Spis treści:
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.

Nota biograficzna:
Graham Hackett is Senior Lecturer in Quantitative Methods at the University of Glamorgan.
David Caunt is a Senior Lecturer in Mathematics at the University of Wolverhampton.

Okładka tylna:
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 bu siness 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.