Advertisements
Advertisements
Question
The mean and variance of a binomial variate with parameters n and p are 16 and 8, respectively. Find P (X = 0), P (X = 1) and P (X ≥ 2).
Solution
Given: mean =16 and variance = 8
Let n and p be the parameters of the distribution.
That is, np = 16 and npq = 8
\[q = \frac{npq}{np} = \frac{1}{2}\]
\[\text{ and } p = 1 - q = \frac{1}{2}\]
\[ np = 16 \]
\[ \Rightarrow n = 32\]
\[ \therefore P(X = r) = ^{32}{}{C}_r \left( \frac{1}{2} \right)^r \left( \frac{1}{2} \right)^{32 - r} , r = 0, 1, 2 . . . . 32, \]
\[ \Rightarrow P(X = 0) = \left( \frac{1}{2} \right)^{32} \]
\[ P(X = 1) = 32 \left( \frac{1}{2} \right)^{32} = \left( \frac{1}{2} \right)^2 \]
\[ P(X \geq 2) = 1 - P(X = 0) - P(X = 1)\]
\[ = 1 - \left( \frac{1}{2} \right)^{32} - \left( \frac{1}{2} \right)^{27} \]
\[ = 1 - \left( \frac{1 + 32}{2^{32}} \right) \]
\[ = 1 - \frac{33}{2^{32}}\]
APPEARS IN
RELATED QUESTIONS
Given X ~ B (n, p)
If n = 10 and p = 0.4, find E(X) and var (X).
Five cards are drawn successively with replacement from a well-shuffled deck of 52 cards. What is the probability that
- all the five cards are spades?
- only 3 cards are spades?
- none is a spade?
Suppose X has a binomial distribution `B(6, 1/2)`. Show that X = 3 is the most likely outcome.
(Hint: P(X = 3) is the maximum among all P (xi), xi = 0, 1, 2, 3, 4, 5, 6)
Suppose that 90% of people are right-handed. What is the probability that at most 6 of a random sample of 10 people are right-handed?
The probability that a student is not a swimmer is 1/5 . Then the probability that out of five students, four are swimmers is
(A) `""^5C_4 (4/5)^4 1/5`
(B) `(4/5)^4 1/5
(C) `""^5C_1 1/5 (4/5)^4 `
(D) None of these
Assume that on an average one telephone number out of 15 called between 2 P.M. and 3 P.M. on week days is busy. What is the probability that if six randomly selected telephone numbers are called, at least 3 of them will be busy?
Eight coins are thrown simultaneously. Find the chance of obtaining at least six heads.
A bag contains 10 balls, each marked with one of the digits from 0 to 9. If four balls are drawn successively with replacement from the bag, what is the probability that none is marked with the digit 0?
Suppose that 90% of people are right-handed. What is the probability that at most 6 of a random sample of 10 people are right-handed?
An unbiased die is thrown twice. A success is getting a number greater than 4. Find the probability distribution of the number of successes.
Five dice are thrown simultaneously. If the occurrence of 3, 4 or 5 in a single die is considered a success, find the probability of at least 3 successes.
The probability that a certain kind of component will survive a given shock test is \[\frac{3}{4} .\] Find the probability that among 5 components tested exactly 2 will survive .
Assume that the probability that a bomb dropped from an aeroplane will strike a certain target is 0.2. If 6 bombs are dropped, find the probability that exactly 2 will strike the target .
It is known that 60% of mice inoculated with a serum are protected from a certain disease. If 5 mice are inoculated, find the probability that more than 3 contract the disease .
The probability that a student entering a university will graduate is 0.4. Find the probability that out of 3 students of the university only one will graduate .
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 factory produces bulbs. The probability that one bulb is defective is \[\frac{1}{50}\] and they are packed in boxes of 10. From a single box, find the probability that exactly two bulbs are defective
In eight throws of a die, 5 or 6 is considered a success. Find the mean number of successes and the standard deviation.
The probability that an item produced by a factory is defective is 0.02. A shipment of 10,000 items is sent to its warehouse. Find the expected number of defective items and the standard deviation.
If X follows a binomial distribution with mean 4 and variance 2, find P (X ≥ 5).
In a binomial distribution, if n = 20 and q = 0.75, then write its mean.
If in a binomial distribution mean is 5 and variance is 4, write the number of trials.
If the mean and variance of a binomial distribution are 4 and 3, respectively, find the probability of no success.
In a box containing 100 bulbs, 10 are defective. What is the probability that out of a sample of 5 bulbs, none is defective?
A rifleman is firing at a distant target and has only 10% chance of hitting it. The least number of rounds he must fire in order to have more than 50% chance of hitting it at least once is
The least number of times a fair coin must be tossed so that the probability of getting at least one head is at least 0.8, is
If the mean and variance of a binomial variate X are 2 and 1 respectively, then the probability that X takes a value greater than 1 is
A coin is tossed 10 times. The probability of getting exactly six heads is
For a binomial variate X, if n = 3 and P (X = 1) = 8 P (X = 3), then p =
Mark the correct alternative in the following question:
Suppose a random variable X follows the binomial distribution with parameters n and p, where 0 < p < 1. If \[\frac{P\left( X = r \right)}{P\left( X = n - r \right)}\] is independent of n and r, then p equals
Mark the correct alternative in the following question:
The probability of guessing correctly at least 8 out of 10 answers of a true false type examination is
Five cards are drawn successively with replacement from a well-shuffled pack of 52 cards. What is the probability that only 3 cards are spades ?
Five cards are drawn successively with replacement from a well-shuffled pack of 52 cards. What is the probability that none is a spade ?
One of the condition of Bernoulli trials is that the trials are independent of each other.
If X follows binomial distribution with parameters n = 5, p and P(X = 2) = 9, P(X = 3), then p = ______.
The sum of n terms of the series `1 + 2(1 + 1/n) + 3(1 + 1/n)^2 + ...` is
If x4 occurs in the tth term in the expansion of `(x^4 + 1/x^3)^15`, then the value oft is equal to:
If a fair coin is tossed 10 times. Find the probability of getting at most six heads.
A fair coin is tossed 6 times. Find the probability of getting heads 4 times.