Essentials of Statistics

Paper Code: 
BIF 322
12.00
Unit I: 
Statistical Measurements

Classification & Tabulation of Data, Central tendency (Mean, Median, Mode), Dispersion (Absolute and Relative variation, Range, Deviations- quartiles and percentile), Variance, Covariance, RMSD.

12.00
Unit II: 
Probability distribution

Terms and concepts, Definition, Simple problems involving probability, Conditional Probability Distribution Functions (Discrete and Continuous R.V.), Normal, Binomial, Poisson, Central Limit Theorem

12.00
Unit III: 
Multivariate Statistics

ANOVA, Correlation, Covariance, Calculation of covariance, Correlation analysis, Types of correlation, Scatter Diagram, Regression analysis, Regression coefficients

12.00
Unit IV: 
Statistical Inference

Test of Hypothesis, Test of Significance, types of sampling, Sampling Distribution (Chi-Square, Students t and F test)

12.00
Unit V: 
Statistical Bioinformatics

Markowian process. Markow & hidden Markow model & it’s applications to bioinformatics. Stochastic process.

ESSENTIAL READINGS: 

1. W W Daniel. “Biostatistics: A Foundation for Analysis in Health Sciences”, 6th Edition, John Wiley and Sons Inc.,1995. 2. Jin Xiong. “Essential Bioinformatics”, John Wiley and Sons,2006. 3. A Teresa and D P Smith. “Introduction to Bioinformatics”. Prentice Hall, 1999. 4. N.T.J Bailey. “Statistical Methods in Biology”. Cambridge University Press, 1995. 5. R C Campbell. “Statistics for Biologist”. Cambridge University Press, 1989.

REFERENCES: 

1. A D Baxevanis & B F Ouellette. “Bioinformatics, A practical Guide to the Analysis of Genes and Proteins”. 2nd Edition, John Wiley and Sons, 2002. 2. “Fundamentals of Biostatistics”, Khan, Publishing Corporation, 1999. 4. A M Lesk. “Introduction to Bioinformatics”,Oxford University Press, 2002. 5. J A Sillince & M Sillince. “Molecular databases for Protein sequence and Structure studies”. Springer Verlag, 1991.

Academic Year: 
2018-2019
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