# RD Sharma Solutions Class 12 Binomial Distribution

## RD Sharma Solutions Class 12 Chapter 33

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 coins 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 the board exam and other competitive exams when a topic of Binomial Distribution comes with RD Sharma. Questions from RD Sharma are included in the exams, as they offer plenty of questions presented in the school-recommended textbook. Thus, to help in solving the RD Sharma textbook, we have provided students with solutions for Chapter 33: Binomial Distribution.

 Binomial Distribution Class 12 RD Sharma Exercises Binomial Distribution Exercise 33.1 Binomial Distribution Exercise 33.2