Advertisements
Advertisements
प्रश्न
The probability of a man hitting a target is 0.25. He shoots 7 times. What is the probability of his hitting at least twice?
उत्तर
Let hitting the target be a success in a shoot.
We have,
\[p =\text{ probability of hitting the target } = 0 . 25 = \frac{1}{4}\]
\[\text{ Also,} q = 1 - p = 1 - \frac{1}{4} = \frac{3}{4}\]
\[\text{ Let X denote the number of success in a sample of 7 trials . Then, } \]
\[\text{ X follows binomial distribution with parameters n } = 7 \text{ and } p = \frac{1}{4}\]
\[ \therefore P\left( X = r \right) = ^{7}{}{C}_r p^r q^\left( 7 - r \right) = ^{7}{}{C}_r \left( \frac{1}{4} \right)^r \left( \frac{3}{4} \right)^\left( 7 - r \right) = \frac{^{7}{}{C}_r 3^\left( 7 - r \right)}{4^7}, \text{ where r } = 0, 1, 2, 3, 4, 5\]
\[\text{ Now,} \]
\[\text{ Required probability } = P\left( X \geq 2 \right)\]
\[ = 1 - \left[ P\left( X = 0 \right) + P\left( X = 1 \right) \right]\]
\[ = 1 - \left[ \frac{^{7}{}{C}_0 3^7}{4^7} + \frac{^{7}{}{C}_1 3^6}{4^7} \right]\]
\[ = 1 - \left[ \frac{2187}{16384} + \frac{5103}{16384} \right]\]
\[ = 1 - \frac{7290}{16384}\]
\[ = \frac{9094}{16384}\]
\[ = \frac{4547}{8192}\]
APPEARS IN
संबंधित प्रश्न
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?
A couple has two children, Find the probability that both children are females, if it is known that the elder child is a female.
An unbiased die is thrown twice. A success is getting a number greater than 4. Find the probability distribution of the number of successes.
A man wins a rupee for head and loses a rupee for tail when a coin is tossed. Suppose that he tosses once and quits if he wins but tries once more if he loses on the first toss. Find the probability distribution of the number of rupees the man wins.
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 .
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 at most 3 will survive .
An experiment succeeds twice as often as it fails. Find the probability that in the next 6 trials there will be at least 4 successes.
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 .
The probability that a student entering a university will graduate is 0.4. Find the probability that out of 3 students of the university all will graduate .
In a 20-question true-false examination, suppose a student tosses a fair coin to determine his answer to each question. For every head, he answers 'true' and for every tail, he answers 'false'. Find the probability that he answers at least 12 questions correctly.
A person buys a lottery ticket in 50 lotteries, in each of which his chance of winning a prize is `1/100`. What is the probability that he will win a prize at least once.
The probability of a shooter hitting a target is \[\frac{3}{4} .\] How many minimum number of times must he/she fire so that the probability of hitting the target at least once is more than 0.99?
How many times must a man toss a fair coin so that the probability of having at least one head is more than 90% ?
Find the probability that in 10 throws of a fair die, a score which is a multiple of 3 will be obtained in at least 8 of the throws.
If the mean and variance of a binomial distribution are respectively 9 and 6, find the distribution.
Find the binomial distribution whose mean is 5 and variance \[\frac{10}{3} .\]
If on an average 9 ships out of 10 arrive safely at ports, find the mean and S.D. of the ships returning safely out of a total of 500 ships.
Find the expected number of boys in a family with 8 children, assuming the sex distribution to be equally probable.
If in a binomial distribution mean is 5 and variance is 4, write the number of trials.
If in a binomial distribution n = 4 and P (X = 0) = \[\frac{16}{81}\] , find q.
If for a binomial distribution P (X = 1) = P (X = 2) = α, write P (X = 4) in terms of α.
A fair coin is tossed 100 times. The probability of getting tails an odd number of times is
If X is a binomial variate with parameters n and p, where 0 < p < 1 such that \[\frac{P\left( X = r \right)}{P\left( X = n - r \right)}\text{ is } \] independent of n and r, then p equals
A biased coin with probability p, 0 < p < 1, of heads is tossed until a head appears for the first time. If the probability that the number of tosses required is even is 2/5, then p equals
If X follows a binomial distribution with parameters n = 8 and p = 1/2, then P (|X − 4| ≤ 2) equals
If X follows a binomial distribution with parameters n = 100 and p = 1/3, then P (X = r) is maximum when r =
A coin is tossed 4 times. The probability that at least one head turns up is
Mark the correct alternative in the following question:
A box contains 100 pens of which 10 are defective. What is the probability that out of a sample of 5 pens drawn one by one with replacement at most one is defective?
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 none is a spade ?
The probability that a bulb produced by a factory will fuse after 150 days of use is 0.05. Find the probability that out of 5 such bulbs not more than one will fuse after 150 days of use
For X ~ B(n, p) and P(X = x) = `""^8"C"_x(1/2)^x (1/2)^(8 - x)`, then state value of n and p
One of the condition of Bernoulli trials is that the trials are independent of each other.
The sum of n terms of the series `1 + 2(1 + 1/n) + 3(1 + 1/n)^2 + ...` is
A pair of dice is thrown four times. If getting a doublet is considered a success then find the probability of two success.
A box B1 contains 1 white ball and 3 red balls. Another box B2 contains 2 white balls and 3 red balls. If one ball is drawn at random from each of the boxes B1 and B2, then find the probability that the two balls drawn are of the same colour.