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• Introduction to Statistics and Sampling Procedure
• Measure of location and dispersion
• Basic probability, sample space, Additive law, conditional probability
• Concept of RAndom variable and It,s probability distribution, discrete and continuous probability distribution
• Mathematical Expectation of Random variable,
• Discrete Probability Distribution (Binomial, negative Binomial, Poisson)
• Continuous Probability distributions (normal, gamma, beta)
• Fundamental Sampling Distribution
• (Week 9-10) intro to statistical inference, point estimation and interval estimation for single and two sample (Practical on R language)
• (Week 11-12) Concept of testing of hypothesis, one sample test
• (Week 13-14) Two sample test concerning with mean and variance ( r-language)
• (Week 15-16) Linear regression and Correlation ( r-language)