NOC:Introduction to Biostatistics


Lecture 1 - Introduction to the course


Lecture 2 - Data representation and plotting


Lecture 3 - Arithmetic mean


Lecture 4 - Geometric mean


Lecture 5 - Measure of Variability, Standard deviation


Lecture 6 - SME, Z-Score, Box plot


Lecture 7 - Moments, Skewness


Lecture 8 - Kurtosis, R programming


Lecture 9 - R programming


Lecture 10 - Correlation


Lecture 11 - Correlation and Regression - Part-I


Lecture 12 - Correlation and Regression - Part-II


Lecture 13 - Interpolation and extrapolation


Lecture 14 - Nonlinear data fitting


Lecture 15 - Concept of Probability: introduction and basics


Lecture 16 - Counting principle, Permutations, and Combinations


Lecture 17 - Conditional probability


Lecture 18 - Conditional probability and Random variables


Lecture 19 - Random variables, Probability mass function, and Probability density function


Lecture 20 - Expectation, Variance and Covariance - Part-I


Lecture 21 - Expectation, Variance and Covariance - Part-II


Lecture 22 - Binomial random variables and Moment generating function


Lecture 23 - Probability distribution: Poisson distribution and Uniform distribution Part-I


Lecture 24 - Uniform distribution Part-II and Normal distribution Part-I


Lecture 25 - Normal distribution Part-II and Exponential distribution


Lecture 26 - Sampling distributions and Central limit theorem - Part-I


Lecture 27 - Sampling distributions and Central limit theorem - Part-II


Lecture 28 - Central limit theorem - Part-III and Sampling distributions of sample mean


Lecture 29 - Central limit theorem - Part-IV and Confidence intervals


Lecture 30 - Confidence intervals Part- II


Lecture 31 - Test of Hypothesis - 1


Lecture 32 - Test of Hypothesis - 2 (1 tailed and 2 tailed Test of Hypothesis, p-value)


Lecture 33 - Test of Hypothesis - 3 (1 tailed and 2 tailed Test of Hypothesis, p-value)


Lecture 34 - Test of Hypothesis - 4 (Type -1 and Type -2 error)


Lecture 35 - T-test


Lecture 36 - 1 tailed and 2 tailed T-distribution, Chi-square test


Lecture 37 - ANOVA - 1


Lecture 38 - ANOVA - 2


Lecture 39 - ANOVA - 3


Lecture 40 - ANOVA for linear regression, Block Design