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Books covering pharmaceutical sciences combined with statistics are not available in the market. To overcome this setback, this book is authored in a detailed and easy to understand manner incorporating the updated information containing the following features:

Syllabus prescribed for B. Pharm and M. Pharm students is covered in detail.

The application of pharmaceutical statistics to research and clinical evaluation.

Prime importance is given to the creation of tables and graphs.

Data presentation inferential tests such as parametric and nonparametric methods regression and correlation factors are presented lucidly.

The importance of ANOVA in statistical designs used in pharmaceutical research.

Introduction of elementary concepts of the design and analysis of factorial designs.

Optimization techniques with suitable examples.

The important designs and their applications predominantly used in controlled clinical studies.

Application of statistics in quality control.

Contents: 1. Basic concepts. 2. Measures of central tendency and measures of dispersion. 3. Data presentation. 4. Probability and distributions. 5. Correlation and regression. 6. Transformations and outliers. 7. Sample choosing. 8. Statistical inference: significance of testing. 9. Analysis of variance Anova. 10. Non parametric methods. 11. Statistical quality control. 12. Factorial designs. 13. Optimization techniques and screening designs. 14. Design of experiments. 15. Validation. Index.