Conclusion
In this chapter we have studied the method of evaluating probabilities of
events relating to independent events and conditional events. We have also
studied about random variables and their probability distributions, namely
binomial distribution and Poisson distribution.
The binomial distribution is defined on a random variable which takes finite
discrete values whereas the Poisson distribution is defined on a random variable
which takes infinite discrete values such as 0, 1, 2, 3, �.
There are few more discrete probability distribution which will be discussed
in higher classes. The most important continuous probability distribution in the
entire field of statistics is normal distribution.
This bell shaped probability distribution function is also an approximate to
binomial distribution. We will be learning the importance of these distribution
function in later classes.
