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Essential Statistics for the Pharmaceutical Sciences - Livres de poche

2009, ISBN: 9780470034705

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Wiley-Blackwell, UK, 1987. First Edition. Hardcover. Very Good Condition/Very Good. 304 Pages. The use of computers in numerical characterization of molecular structures has given ch… Plus…

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Essential Statistics for the Pharmaceutical Sciences - livre d'occasion

2008, ISBN: 047003470X

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Essential Statistics for the Pharmaceutical Sciences - nouveau livre

2008

ISBN: 9780470034705

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Essential Statistics for the Pharmaceutical Sciences - Livres de poche

ISBN: 9780470034705

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Philip Rowe:
Essential Statistics for the Pharmaceutical Sciences - nouveau livre

ISBN: 9780470034705

Essential Statistics for the Pharmaceutical Sciences Author :Philip Rowe 9780470034705 047003470X, [PU: Wiley]

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Essential Statistics for the Pharmaceutical Sciences

Essential Statistics for the Pharmaceutical Sciences is a clear, accessible introduction to the key statistical techniques employed for the analysis of data within this subject area. Written in a concise and logical manner, the book explains why statistics are necessary and discusses the issues that experimentalists need to consider. The reader is carefully taken through the whole process, from planning an experiment to interpreting the results, avoiding unnecessary calculation methodology. The most commonly used statistical methods are described in terms of their purpose, when they should be used and what they mean once they have been performed. Numerous examples are provided throughout the text, all within a pharmaceutical context, with key points highlighted in summary boxes to aid student understanding. Essential Statistics for the Pharmaceutical Sciences takes a new and innovative approach to statistics with an informal style that will appeal to the reader who finds statistics a challenge! This book is an invaluable introduction to statistics for any science student. It is an essential text for students taking biomedical or pharmaceutical-based science degrees and also a useful guide for researchers.

Informations détaillées sur le livre - Essential Statistics for the Pharmaceutical Sciences


EAN (ISBN-13): 9780470034705
ISBN (ISBN-10): 047003470X
Version reliée
Livre de poche
Date de parution: 2007
Editeur: John Wiley & Sons
287 Pages
Poids: 0,721 kg
Langue: eng/Englisch

Livre dans la base de données depuis 2007-10-10T13:36:19+02:00 (Zurich)
Page de détail modifiée en dernier sur 2018-06-13T21:23:58+02:00 (Zurich)
ISBN/EAN: 9780470034705

ISBN - Autres types d'écriture:
0-470-03470-X, 978-0-470-03470-5
Autres types d'écriture et termes associés:
Auteur du livre: rowe
Titre du livre: statistics for sciences, essential statistics pharmaceutical sciences


Données de l'éditeur

Auteur: Philip Rowe
Titre: Essential Statistics for the Pharmaceutical Sciences
Editeur: John Wiley & Sons
308 Pages
Date de parution: 2007-03-09
Poids: 0,730 kg
Langue: Anglais
165,00 € (DE)
Not available, replaced by new product
168mm x 244mm x 76mm

BB; gebunden; Hardcover, Softcover / Biologie/Mikrobiologie; Biologie, Biowissenschaften; Medizin; Biostatistik; Statistik; Pharmacology & Pharmaceutical Medicine; Biostatistics; Pharmazeutische Statistik; Pharmazie; Cell & Molecular Biology; Life Sciences; Biowissenschaften; Pharmakologie u. Pharmazeutische Medizin; Pharmaceutical Statistics; Medical Science; Zell- u. Molekularbiologie; Statistics; Zell- u. Molekularbiologie; Pharmazeutische Statistik; Biostatistik; Pharmakologie u. Pharmazeutische Medizin; BC

Preface. Statistical packages. PART 1. DATA TYPES. 1. Data types. PART 2. INTERVAL-SCALE DATA. 2. Descriptive statistics. 3. The normal distribution. 4. Sampling from populations. the SEM. 5. Ninety-five per cent confidence interval for the mean. 6. The two-sample t-test(1).Introducing hypothesis tests. 7. The two-sample t-test(2).The dreaded P value. 8. The two-sample t-test(3).False negatives, power and necessary sample sizes. 9. The two-sample t-test(4).Statistical significance, practical significance and equivalence. 10. The two-sample t-test(5).One-sided testing. 11. What does a statistically significant result really tell us? 12. The paired t-test. comparing two related sets of measurements. 13. Analyses of variance. going beyond t-tests. 14. Correlation and regression. relationships between measured values. PART 3. NOMINAL-SCALE DATA. 15. Describing categorized data. 16. Comparing observed proportions. the contingency chi-square test. PART 4. ORDINAL-SCALE DATA. 17. Ordinal and non-normally distributed data.Transformations and non-parametric tests. Appendix to Chapter 17. PART 5. SOME CHALLENGES FROM THE REAL WORLD. 18. Multiple testing. 19. Questionnaires. PART 6. CONCLUSIONS. 20. Conclusions. Index.

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