PROBABILITY - 5
BINOMIAL PROBABILITY
Bernoulli trials :-
A random experiment repeated n-times is said to be bernoulli trial if
Trails are independent of each other.
Only two possible outcomes corresponding to each trial, that is success or failure.
Probability of success ( or failure ) in each trial must be the same.
Experiment : a dice is rolled ten times.
Success : occurrence of a number divisible by “3”.
P = prob. Of success in one trial = 1 / 3
Q = prob. Of failure in one trial = 2 / 3
Probability of exactly 4 times success = 10 C 4
Bayes Theorem.
It is a theorem in which we find the probability of an event after the event is completed / happened.
It is derived from the conditional probaility.
Outcome is known before knowing the probability.
P( A|B ) = P( A ) x P( B|A ) / P( B )
Example :-
If a person is dead then baye will ask what is the probability of that person who died having any life-style disease.
Another example :-
We have data of Gender and whether they survived or not and from that with the help of baye we can find out if a man enters what will be the probability that he will survive or not.
🙏 Thank you all for your time and support! 🙏
Don't forget to catch me daily for the latest updates on my programming journey! Let's continue to learn, grow, and inspire together! 💻✨
Top comments (0)