JNTUH B.Tech 2016-2017 (R16) Detailed Syllabus Statistical Methods and Computer Applications

Statistical Methods and Computer Applications Detailed Syllabus for B.Tech first year second sem is covered here. This gives the details about credits, number of hours and other details along with reference books for the course.

The detailed syllabus for Statistical Methods and Computer Applications B.Tech 2016-2017 (R16)  first year second sem is as follows.

B.Tech. I Year II Sem. L T/P/C
Course Code: PS203    3 1/0/3

Course Objectives:

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.

Course Outcome:

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

UNIT – I 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.

UNIT – II 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).

UNIT – III 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

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TEXT BOOKS:

• Sanford Boltan, Pharmaceutical statistics, Practical and clinical applications
• Pranab Kumar Benarjee, Introduction to Biostatistics 3. Khan and Khanum, Fundamentals of Biostatistics

REFERENCES:

• Roger E. Kirk, Statistics an introduction, Thomson Wadsworth
• Walter T. Ambrosius, Topics in Biostatistics, Humana Press

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