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Proble following distributions: discrete uniform; exponential; Erlang; Pascal; Gaussian; Binomial m 40. Give an example of re

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Discrete Uniform : in this probability model, the number of outcomes ate finite and every outcome is equiprobable, that is having same probability. Real life situation where it can be used in While throwing a die. Number of possible outcomes = 6 and all have same probability of p=1.

Exponential distribution is used to model time between certain events or time of failure of devices.

Erlang distribution is used in queuing theory in order to model the waiting time of the processes

Pascal distribution is used to model number of failures before k successes.

Gaussian distribution is most widely used distribution in real world as most of the problem depicts this model .used to model height , weight, and other real life parameters.

Binomial is used to model number of success in n trials. Like number of heads that may appaer in n tosses of coin.

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