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Essential Statistics for the Pharmaceutical Sciences

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ÁöÀºÀÌ :  Rowe
¹ßÇàÀÏ :  2007 ³â
ISBN :  9780470034682
Á¤Çà°¡ :  34,000 ¿ø
ÆäÀÌÁö :  287 ÆäÀÌÁö
ÆÇÇà¼ö :  1ÆÇ
ÃâÆÇ»ç :  Wiley

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Statistical Methods for Forecasting
Internet, Mail, and Mixed-Mode Surveys: The Tailored Design Method 3/e

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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 centconfidence 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
PART 5. SOME CHALLENGES FROM THE REAL WORLD
18. Multiple testing
19. Questionnaires
PART 6. CONCLUSIONS
20. Conclusions