Bernoulli Trial and Binomial Distribution
Bernoulli Trial and Binomial Distribution: Overview
This Topic covers sub-topics such as Bernoulli Trials, Binomial Probability Distribution, Conditions for Binomial Distribution, Variance in Binomial Probability Distribution and, Mode in Binomial Probability Distribution
Important Questions on Bernoulli Trial and Binomial Distribution
Probability distribution is classified as normal if expected return lies between

Range of probability distribution with 95.46% lies within

A marksman hits of all his targets. What is the probability that he will hit exactly four of his next ten shots?

One hundred identical coins, each with probability of showing up heads are tossed once. If and the probability of heads showing on coins is equal to the probability of heads showing on coins, then value of is:

Fifteen coupons are numbered respectively. Seven coupons are selected at random one at a time with replacement. The probability that the largest number appearing on a selected coupon is is:

The probability that an event happens in one trial of an experiment is . Three independent trials of the experiment are performed. The probability that the event happens at least once is

Let and be two random variables such that . If follows Binomial distribution with parameters and , what is the variance of ?

Let the probability of getting head for a biased coin be . It is tossed repeatedly until a head appears. Let be the number of tosses required. If the probability that the equation has no real root is , where and are co-prime, then is equal to..........

The random variable follows binomial distribution , for which the difference of the mean and the variance is .
If , then is equal to

Let a die be rolled times. Let the probability of getting odd numbers seven times be equal to the probability of getting odd numbers nine times. If the probability of getting even numbers twice is , then is equal to

A pair of dice is thrown times. For each throw, a total of is considered a success. If the probability of at least successes is , then is equal to

In a binomial distribution, , the sum and product of the mean and variance are and respectively, then find is equal to

For a biased coin, the probability of getting head is . It is tossed times, till we get head. Given a quadratic equation . If probability that the quadratic equation has no real roots is (where, and are co-prime), then the value of is ________

The incidence of suffering from a disease among workers in an industry has a chance of . What is the probability that out of workers suffering from a disease?

The probability of an event that Haresh hits the target is . He hits targets times, then its variance is

In a recreational event at a school, there were students, parents, and teachers. To play a game, two members were selected randomly one after the other. Find the probability distribution of the number of students. Show your steps.

A pair of dice is thrown independently three times. The probability of getting a score of exactly twice is:

A player plays a game against a machine. Ay each round he deposits in the machine and flips a coin. If a coins shows head, get increment and if a coins shows tail, then gets decrement. Let start with , then the probability that he is left with no money by the round.

A person takes a step forward with probability and takes a step backward with probability , where . The probability that after steps the person is only one step away from his initial position, is equal to

A random variable is binomially distributed with parameter and . The sknewness of the variable is
