SEMESTER – II
PAPER – II: PROBABILITY THEORY AND DISTRIBUTIONS
Practicals Paper – II
- Fitting of Binomial distribution – Direct
- Fitting of binomial distribution – Recurrence relation
- Fitting of Poisson distribution – Direct
- Fitting of Poisson distribution – Recurrence relation
- Fitting of Negative Binomial
- Fitting of Geometric
- Fitting of Normal distribution – Areas
- Fitting of Normal distribution – Ordinates
- Fitting of Exponential
Note: Training shall be on establishing formulae in Excel cells and derive the results. The excel output shall be exported to MS word for writing inference.
Course Learning Outcomes
Students will acquire
- ability to distinguish between random and non-random experiments,
- knowledge to conceptualize the probabilities of events including frequentist and axiomatic approach. Simultaneously, they will learn the notion of conditional probability including the concept of Bayes’ Theorem,
- knowledge related to concept of discrete and continuous random variables and their probability distributions including expectation and moments,
- knowledge of important discrete and continuous distributions such as Binomial, Poisson, Geometric, Negative Binomial and Hyper-geometric, normal, uniform, exponential, beta and gamma distributions, (e) acumen to apply standard discrete and continuous probability distributions to different