Definitions [3]
Trials of a random experiment are called Bernoulli trials if they satisfy the following
-
Each trial has exactly two outcomes: success or failure.
-
The probability of success remains the same in each trial.
The probability distribution of a random variable X, which represents the number of successes in n independent Bernoulli trials, each having probability of success p, is called the Binomial Distribution.
If q = 1 - p, then the probability function is given by
\[P(X=x)=\binom{n}{x}p^xq^{n-x},\quad x=0,1,2,\ldots,n.\]
The probability of x successes, P(X = x), also denoted by P(x), is given by
\[P(x)=\binom{n}{x}q^{n-x}p^x,\quad x=0,1,2,\ldots,n,\quad(q=1-p).\]
This P(x) is called the probability function of the binomial distribution.
Formulae [3]
Var (X ) = npq
E(X) = np
\[\sigma=\sqrt{npq}\]
Important Questions [22]
- A die is thrown 6 times. If ‘getting an odd number’ is a success, find the probability of 5 successes.
- Let X ~ B(10, 0.2). Find P(X ≥ 1).
- The probability that a certain kind of component will survive a check test is 0.5. Find the probability that exactly two of the next four components tested will survive.
- Let X ~ B(10, 0.2). Find P(X = 1).
- If the mean and variance of a binomial distribution are 18 and 12 respectively, then n = ______.
- Five cards are drawn successively with replacement from a well-shuffled deck of 52 cards; find the probability that none is a spade.
- Five cards are drawn successively with replacement from a well-shuffled deck of 52 cards; find the probability that all the five cards are spades.
- A die is thrown 6 times. If ‘getting an odd number’ is a success, find the probability of at least 5 successes.
- Let the probability mass function (p.m.f.) of a random variable X be P(X = x) = 4Cx(59)x×(49)4-x, for x = 0, 1, 2, 3, 4 then E(X) is equal to ______.
- Given X ~ B(n, p) if p = 0.6 and E(X) = 6, find n and Var(X).
- If X ~ B (n, p) and E(X) = 6 and Var (X) = 4.2, then find n and p.
- The probability mass function for X = number of major defects in a randomly selected appliance of a certain type is
- Given is X ~ B(n, p). If E(X) = 6, and Var(X) = 4.2, find the value of n.
- Given X – B (n, p) If n = 10 and p = 0.4, find E(X) and var (X).
- Given that X ~ B(n= 10, p). If E(X) = 8 then the value of
- The Probability that a Bomb Will Hit a Target is 0.8. Find the Probability that Out of 10 Bombs Dropped, Exactly 4 Will Hit the Target.
- A fair coin is tossed 8 times. Find the probability that it shows heads at least once
- If a fair coin is tossed 10 times. Find the probability of getting at most six heads.
- Ten eggs are drawn successively, with replacement, from a lot containing 10% defective eggs. Find the probability that there is at least one defective egg.
- A Fair Coin is Tossed 9 Times. Find the Probability that It Shows Head Exactly 5 Times.
- A fair coin is tossed 8 times. Find the probability that it shows heads exactly 5 times.
- A pair of dice is thrown 4 times. If getting a doublet is considered as success, find the probability of two successes.
