B.Pharmacy I Year II Semester (R16)
The objective of the course, centered around various techniques,
collection of data and its treatment; Probability and distribution, correlation, regression and statistical inferences, besides computer application.
At the end of the course the expected outcomes are thorough knowledge
of statistical techniques and application of computer in pharmacy
Section - A: Bio-statistics
Data collection and treatment: Data Collection and organization, diagrammatic representation of data( bar, pie, 2-D and 3-D diagrams), standard deviation and standard error of means, co-efficient of variation, Correlation and regression analysis. Probability and Distributions: Bayer’s theorem, probability theorem, elements of binomial and Poisson distribution, normal distribution curve and properties.
Statistical inference: Common parametric and non-parametric tests (t-test, F-test, X2-test employed in testing of significance in biological/pharmaceutical experiments and elements of ANOVA (One way and two way).
Design of experiments: Basic concepts of CRD, RBD and Latin square designs. Sampling and Quality Control: Concept of random sampling, statistical QC charts. Applications of statistical concepts in pharmaceutical sciences.
Section - B: Computer Applications
MS-Excel: Basics, spreadsheets, data types, formulas, formatting, charts, graphs. Calculation of statistical parameters using excel. MS-Power Point: Power point Basics, views, slide controls, applied design, page setup, templates, back ground control, colour screens, transitions, and animations, working with texts, and working with graphics.
Database Management: Concepts and Objectives of database management systems, advantages of the database management systems and examples of DBMS packes (like DBASE III) Introduction to structured Query language (SQL): over view of SQL, Reserved words, SQL Commands. Computer Applications in pharmaceutical and clinical studies.
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