De Muth | Basic Statistics and Pharmaceutical Statistical Applications | Buch | 978-0-367-57616-5 | sack.de

Buch, Englisch, 848 Seiten, Format (B × H): 156 mm x 234 mm, Gewicht: 1261 g

Reihe: Pharmacy Education Series

De Muth

Basic Statistics and Pharmaceutical Statistical Applications


3. Auflage 2020
ISBN: 978-0-367-57616-5
Verlag: Chapman and Hall/CRC

Buch, Englisch, 848 Seiten, Format (B × H): 156 mm x 234 mm, Gewicht: 1261 g

Reihe: Pharmacy Education Series

ISBN: 978-0-367-57616-5
Verlag: Chapman and Hall/CRC


Building on its best-selling predecessors, Basic Statistics and Pharmaceutical Statistical Applications, Third Edition covers statistical topics most relevant to those in the pharmaceutical industry and pharmacy practice. It focuses on the fundamentals required to understand descriptive and inferential statistics for problem solving. Incorporating new material in virtually every chapter, this third edition now provides information on software applications to assist with evaluating data.

New to the Third Edition

- Use of Excel® and Minitab® for performing statistical analysis

- Discussions of nonprobability sampling procedures, determining if data is normally distributed, evaluation of covariances, and testing for precision equivalence

- Expanded sections on regression analysis, chi square tests, tests for trends with ordinal data, and tests related to survival statistics

- Additional nonparametric procedures, including the one-sided sign test, Wilcoxon signed-ranks test, and Mood’s median test

With the help of flow charts and tables, the author dispels some of the anxiety associated with using basic statistical tests in the pharmacy profession and helps readers correctly interpret their results using statistical software. Through the text’s worked-out examples, readers better understand how the mathematics works, the logic behind many of the equations, and the tests’ outcomes.

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Zielgruppe


Undergraduate Core


Autoren/Hrsg.


Weitere Infos & Material


Introduction. Probability. Sampling. Presentation Modes. Measures of Central Tendency. The Normal Distribution and Data Transformation. Confidence Intervals and Tolerance Limits. Hypothesis Testing. T-Tests. One-Way Analysis of Variance. Multiple Comparison Tests. Factorial Designs: An Introduction. Correlation. Linear Regression. Z-Tests of Proportions. Chi Square Tests. Measures of Association. Odds Ratios and Relative Risk Ratios. Evidence Based Practice: An Introduction. Survival Statistics. Nonparametric Tests. Statistical Tests for Equivalence. Outlier Tests. Statistical Errors in the Literature. Appendices. Index.


James E. De Muth



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