हिंदी

Five cards are drawn one by one, with replacement, from a well-shuffled deck of 52 cards. Find the probability that (i) all the five cards diamonds - Mathematics

Advertisements
Advertisements

प्रश्न


Five cards are drawn one by one, with replacement, from a well-shuffled deck of 52 cards. Find the probability that
(i) all the five cards diamonds
(ii) only 3 cards are diamonds
(iii) none is a diamond

उत्तर

Let the random variable X = no. of diamonds
So, X can take values 0,1,2,3,4 and 5.
Also, p = P(success) = P(a diamond) = \[\frac{13}{52} = \frac{1}{4}\] And q = P(failure) = \[1 - p\] = \[1 - \frac{1}{4} = \frac{3}{4}\]

Now,

\[\left( i \right) P\left( X = 5 \right) = ^{5}{}{C}_5 p^5 = \left( \frac{1}{4} \right)^5 = \frac{1}{1024}\]

\[\left( ii \right) P\left( X = 3 \right) = ^{5}{}{C}_3 p^3 q^2 = 10 \left( \frac{1}{4} \right)^3 \left( \frac{3}{4} \right)^2 = \frac{90}{1024} = \frac{45}{512}\]

\[\left( iii \right) P\left( X = 0 \right) = ^{5}{}{C}_0 q^5 = \left( \frac{3}{4} \right)^5 = \frac{243}{1024}\]

shaalaa.com
  क्या इस प्रश्न या उत्तर में कोई त्रुटि है?
2013-2014 (March) Foreign Set 1

वीडियो ट्यूटोरियलVIEW ALL [1]

संबंधित प्रश्न

Find the probability of getting 5 exactly twice in 7 throws of a die.


It is known that 10% of certain articles manufactured are defective. What is the probability that in a random sample of 12 such articles, 9 are defective?


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?


Five cards are drawn successively with replacement from a well-shuffled pack of 52 cards. What is the probability that all the five cards are spades ?



A box contains 100 tickets, each bearing one of the numbers from 1 to 100. If 5 tickets are drawn successively with replacement from the box, find the probability that all the tickets bear numbers divisible by 10.


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?


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 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.


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 80% ?


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. 


Determine the binomial distribution whose mean is 20 and variance 16.

 

In a binomial distribution the sum and product of the mean and the variance are \[\frac{25}{3}\] and \[\frac{50}{3}\]

 respectively. Find the distribution.

 
 

If the mean of a binomial distribution is 20 and its standard deviation is 4, find p.

 

If the mean and variance of a binomial variate X are 2 and 1 respectively, find P (X > 1).

 

An unbiased coin is tossed 4 times. Find the mean and variance of the number of heads obtained.   


If X follows binomial distribution with parameters n = 5, p and P(X = 2) = 9P(X = 3), then find the value of p.  


In a box containing 100 bulbs, 10 are defective. What is the probability that out of a sample of 5 bulbs, none is defective?


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


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


In a binomial distribution, the probability of getting success is 1/4 and standard deviation is 3. Then, its mean is


One of the condition of Bernoulli trials is that the trials are independent of each other.


Explain why the experiment of tossing a coin three times is said to have binomial distribution.


If X follows binomial distribution with parameters n = 5, p and P(X = 2) = 9, P(X = 3), then p = ______.


The probability of hitting a target in any shot is 0.2. If 5 shots are fired, find the probability that the target will be hit at least twice.


An experiment succeeds thrice as often as it fails. Then in next five trials, find the probability that there will be two successes.


The mean and variance of binomial distribution are 4 and 2 respectively. Find the probability of two successes.


Share
Notifications

Englishहिंदीमराठी


      Forgot password?
Use app×