| |
|
|
| |
 |
| 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. |
| |
|
|
| |
|
|
| |
|
|
|
|
|
Get FREE Live Tutoring
(No credit card required)
Customer Care
Click to get customer service, technical support and subscription help.
Refer-A-Friend
Get One Month Free!
When you refer a friend
|
|
|
