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MSRIT Biostatistics and Bio Modeling Sem 4
No Units Titles Sub Titles Chapters
1 Unit 1 Statistics and Probability Scope of Biostatistics, Correlation and regression analysis (Simple and Linear) Curve fitting (Linear, Parabolic and Geometric curves) VIEW CHAPTERS
Probability Classical definition, Axioms, Addition rule, Multiplication rule, Conditional probability, Baye s theorem VIEW CHAPTERS
2 Unit 2 Random variables and Probability distributions Random variables, Discrete and continuous random variables, Mean and variance, Binomial distribution, Poisson distribution, Geometric distribution, Exponential distribution, Uniform distribution, Normal distribution VIEW CHAPTERS
Stochastic Process Classification, Unique fixed probability vector, Regular stochastic matrix, Transition probability matrix, Markov chain VIEW CHAPTERS
3 Unit 3 Genetic application of probability and Statistical inference Genetic Applications of Probability, Hardy - Weinberg law, Estimation of probabilities for multi-locus/multiallele finger print systems VIEW CHAPTERS
Sampling and Statistical inference Sampling Distributions, Standard error, Central limit theorem, Testing of Hypothesis, Level of significance, Confidence limits, One tailed and two tailed tests, Test of significance for small samples, t- distribution, F distribution and Chi-square distribution VIEW CHAPTERS
4 Unit 4 ANOVA and Optmization models Analysis of variance (One way and Two-way classifications), Case studies of statistical designs of biological experiments (RCBD and RBD), Single and double  blind experiments, Limitations of experiments, Optimization models in Biology and Medicine, Medical diagnosis problem, Hospital diet problem VIEW CHAPTERS
5 Unit 5 Biomodeling Microbial growth in a chemostat, Growth equations of microbial populations, Models of commensalisms, Mutualism, Predation and Mutation, Lotka - Volterra s model for n Interacting species, Basic models for inheritance, Selection and Mutation models, Genetic inbreeding models  Selfing, Sipmating VIEW CHAPTERS
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