Description

Book Synopsis
An introduction to quantitative methods delivering the knowledge and skills required to process, utilize and manipulate numerical information of the type and style found in the business environment. The practical application of quantitative methods is emphasized.
An additional unit on basic mathematics is included which is suitable for students enrolling on business studies programs without formal mathematical qualifications.
Contents include: foundation mathematics and business mathematics; data presentation; linear programming; regression and correlation analysis; probability and probability distribution.

Table of Contents
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

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    A Paperback by David Caunt, David Caunt

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      Publisher: Wiley
      Publication Date: Publication Date: 12/1/1994 12:00:00 AM
      ISBN13: 9780631195375, 978-0631195375
      ISBN10: 0631195378
      Also in:
      Management decision making Mathematics

      Description

      Book Synopsis
      An introduction to quantitative methods delivering the knowledge and skills required to process, utilize and manipulate numerical information of the type and style found in the business environment. The practical application of quantitative methods is emphasized.
      An additional unit on basic mathematics is included which is suitable for students enrolling on business studies programs without formal mathematical qualifications.
      Contents include: foundation mathematics and business mathematics; data presentation; linear programming; regression and correlation analysis; probability and probability distribution.

      Table of Contents
      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.

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