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Quantitative methods for business decisions /

By: Contributor(s): Publication details: 2013 Cengage LearningEdition: 7th edDescription: xv, 604 p.; ill. 25 cmISBN:
  • 9781408060193
Subject(s): LOC classification:
  • HD30.23 .C87 2013
Contents:
1 BASIC MATHEMATICS. 1A. Mathematical Background. 1B. Financial Mathematics. Part 1: UNDERSTANDING QUANTITATIVE INFORMATION. 2. The quantitative approach. 3. Managing data. 4. Survey methods. Part 2: DESCRIBING DATE. 5. Presentation of data. 6. Measures of location. 7. Measures of dispersion. 8. Index numbers. Part 3: MEASURING UNCERTAINTY. 9. Probability. 10. Discrete probability distributions. 11. The Normal distribution. Part 4: USING STATISTICAL INFERENCE. 12. Samples, Estimation and Confidence intervals. 13. Significance testing. 14. Non-parametric tests. Part 5: RELATING VARIABLES AND PREDICTING OUTCOMES. 15. Correlation and simple regression analysis. 16. Multiple Regression Analysis. 17. Time series.
Summary: Provides students with all the tools they need to pass the typical Quantitative Methods course. In this title, each chapter focuses on a selection of statistical techniques, illustrated with examples from across business, marketing, economics, finance, and public administration, to appeal to students across the business spectrum.
Item type: Book
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Holdings
Current library Collection Call number Copy number Status Barcode
Bishop Okullu Memorial Library (Limuru Campus) General Circulation Non-fiction HD30.23 .C87 2013 (Browse shelf(Opens below)) 1 Available 036156
Bishop Okullu Memorial Library (Limuru Campus) General Circulation Non-fiction HD30.23 .C87 2013 (Browse shelf(Opens below)) 2 Available 036157
Nairobi Campus General Circulation Non-fiction HD30.23 .C87 2013 (Browse shelf(Opens below)) 5 Available 036160
Nakuru Campus General Circulation Non-fiction HD30.23 .C87 2013 (Browse shelf(Opens below)) 3 Available 036158
Nakuru Campus General Circulation Non-fiction HD30.23 .C87 2013 (Browse shelf(Opens below)) 4 Available 036159
Total holds: 0

1 BASIC MATHEMATICS. 1A. Mathematical Background. 1B. Financial Mathematics. Part 1: UNDERSTANDING QUANTITATIVE INFORMATION. 2. The quantitative approach. 3. Managing data. 4. Survey methods. Part 2: DESCRIBING DATE. 5. Presentation of data. 6. Measures of location. 7. Measures of dispersion. 8. Index numbers. Part 3: MEASURING UNCERTAINTY. 9. Probability. 10. Discrete probability distributions. 11. The Normal distribution. Part 4: USING STATISTICAL INFERENCE. 12. Samples, Estimation and Confidence intervals. 13. Significance testing. 14. Non-parametric tests. Part 5: RELATING VARIABLES AND PREDICTING OUTCOMES. 15. Correlation and simple regression analysis. 16. Multiple Regression Analysis. 17. Time series.

Provides students with all the tools they need to pass the typical Quantitative Methods course. In this title, each chapter focuses on a selection of statistical techniques, illustrated with examples from across business, marketing, economics, finance, and public administration, to appeal to students across the business spectrum.

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