A binomial Distribution can be defined as when a random variable X that counts the number of successes, k, in the n trials is said to have a binomial distribution with parameters
n and p, written bin(k; n, p).
In general a Binomial distribution arises when we have the following 4 conditions
-identical trials, e.g. 5 coin tosses
– 2 possible outcomes for each trial “success” and “failure”, e.g. Heads or Tails
– Trials are independent, e.g. each coin toss doesn’t affect the others
– P(“success”) = p is the same for each trial, e.g. P(Head) = 2/3 is the same for each trial
Learn about how to ace your board exam and competitive exams when a topic of Binomial Distribution comes with RD Sharma. Questions from RD sharma are seen in all exams in the country as the questions they offer are always a grade above the school recommended textbook. Thus to help in solving the RD sharma textbook is why we have provided for you solutions Chapter 33: Binomial Distribution.