Week 9: Discrete and Continuous random variables.
Discrete and Continuous random variables
Discrete and Continuous probability distributions
Book Probability & Statistics for Engineers & Scientists
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Course Material
- Week 1: Basic concept of probability along with their definitions.
- Week 2: Numerical problems for understanding the basic concepts of Probability.
- Week 3: Rules of multiplications, combination and permutations of events.
- Week 4: Random variable and random experiments along with their properties and examples.
- Week 5:Mean, variance and standard deviation. Purpose and uses of these measures.
- Week 6: Chebyshev's inequality its uses and applications
- Week 7: Independence of random variables
- Week 8: Multiplicative and additive properties of expectation and variances.
- Week 9: Discrete and Continuous random variables.
- Week 10: Uniform distribution, its properties and applications.
- Week 11: Poisson and uniform distribution, its properties and applications.
- Week 12: Exponential distribution with its properties and applications and Numerical Question
- Week 13: Gamma distribution with its properties and applications.
- Week 14: Normal distributions, its application and properties.
- Week 15: Law of large numbers. Types of Law of large numbers and numerical problems
- Week 16: Markov Chain and continuous Markov Process.
- Chapters 16
- Department Mathematics
- Teacher
Ahad Yasin
