Lecture Session1 : Binomial distribution
Lecture Session2 : M.G.F ,Mean, Variance
Lecture Session 3 : Fit a Binomial distribution
Tutorial Session 4 : Problem solving using tutorial sheet 4
Lecture Session 5 : Poisson distribution, M.G.F ,Mean, Variance
Lecture Session 6 : Fitting Poisson distribution
Lecture Session 7 : Geometric distribution-M.G.F, Mean, Variance, Memory less property
Tutorial Session 8 : Problem solving using tutorial sheet 5
Lecture Session 9 :Continuous distribution: Uniform distribution – MGF, Mean, Variance
Lecture Session 10 : Continuous distribution: Uniform distribution – MGF, Mean, Variance
Lecture Session 11 : Normal distribution, Problems on Normal distribution
Tutorial Session 12 : Problem solving using tutorial sheet 6,Application of distributions in Engineering