Introduction to Biostatistics

Introduction to Biostatistics

Introduction to Biostatistics via YouTube Direct link

Introduction to the course

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1 of 40

Introduction to the course

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Classroom Contents

Introduction to Biostatistics

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  1. 1 Introduction to the course
  2. 2 Data representation and plotting
  3. 3 Arithmetic mean
  4. 4 Geometric mean
  5. 5 Measure of Variability, Standard deviation
  6. 6 SME, Z-Score, Box plot
  7. 7 Moments, Skewness
  8. 8 Kurtosis, R programming
  9. 9 R programming
  10. 10 Correlation
  11. 11 Correlation and Regression
  12. 12 Correlation and Regression Part-II
  13. 13 Interpolation and extrapolation
  14. 14 Nonlinear data fitting
  15. 15 Concept of Probability: Introduction and basics
  16. 16 Counting principle, Permutations, and Combinations
  17. 17 Conditional probability
  18. 18 Conditional probability and Random variables
  19. 19 Expectation, Variance and Covariance Part - II
  20. 20 Binomial random variables and Moment generating function
  21. 21 Random variables, Probability mass function, and Probability density function
  22. 22 Expectation, Variance and Covariance
  23. 23 Probability distribution : Poisson distribution and Uniform distribution Part-I
  24. 24 Uniform distribution Part-II and Normal distribution Part-I
  25. 25 Normal distribution Part-II and Exponential distribution
  26. 26 Sampling distributions and Central limit theorem Part-I
  27. 27 Sampling distributions and Central limit theorem Part-II
  28. 28 Central limit theorem Part-III and Sampling distributions of sample mean
  29. 29 Central limit theorem - IV and Confidence intervals
  30. 30 Confidence intervals Part- II
  31. 31 Test of Hypothesis - 1
  32. 32 Test of Hypothesis - 2 (1 tailed and 2 tailed Test of Hypothesis, p-value)
  33. 33 Test of Hypothesis - 3 (1 tailed and 2 tailed Test of Hypothesis, p-value)
  34. 34 Test of Hypothesis - 4 (Type -1 and Type -2 error)
  35. 35 T-test
  36. 36 1 tailed and 2 tailed T-distribution, Chi-square test
  37. 37 ANOVA - 1
  38. 38 ANOVA - 2
  39. 39 ANOVA - 3
  40. 40 ANOVA for linear regression, Block Design

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