मराठी

How Many Times Must a Man Toss a Fair Coin So that the Probability of Having at Least One Head is More than 80%? - Mathematics

Advertisements
Advertisements

प्रश्न

How many times must a man toss a fair coin so that the probability of having at least one head is more than 80% ?

बेरीज

उत्तर

Let X be the number of heads and n be the minimum number of times that a man must toss a fair coin so that probability of X ≥ 1 is more than 80 % and X follows a binomial distribution with \[p = \frac{1}{2}, q = \frac{1}{2}\]
\[P(X = r) =^{n}{}{C}_r \left( \frac{1}{2} \right)^n \]
\[\text{ We have } P(X \geq 1) = 1 - P(X = 0) = 1 - ^{n}{}{C}_0 \left( \frac{1}{2} \right)^n = 1 - \frac{1}{2^n}\]
\[\text{ and } P(X \geq 1) > 80 \] %
\[1 - \frac{1}{2^n} > 80 \] % = 0 . 80 
\[\frac{1}{2^n} < 1 - 0 . 80 = 0 . 20\]
\[ 2^n > \frac{1}{0 . 2} = 5; \]
\[\text{ We know,}  2^2 < 5 \text{ while } 2^3 > 5\]
\[\text{ So, n } = 3 \]
\[\text{ So, n should be atleast } 3 .\]

 

shaalaa.com
  या प्रश्नात किंवा उत्तरात काही त्रुटी आहे का?
पाठ 33: Binomial Distribution - Exercise 33.1 [पृष्ठ १५]

APPEARS IN

आरडी शर्मा Mathematics [English] Class 12
पाठ 33 Binomial Distribution
Exercise 33.1 | Q 47 | पृष्ठ १५

व्हिडिओ ट्यूटोरियलVIEW ALL [1]

संबंधित प्रश्‍न

Given that X ~ B(n= 10, p). If E(X) = 8 then the value of

p is ...........

(a) 0.6

(b) 0.7

(c) 0.8

(d) 0.4


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 bag consists of 10 balls each marked with one of the digits 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?


An experiment succeeds twice as often as it fails. Find the probability that in the next six trials, there will be at least 4 successes.



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


The probability of a man hitting a target is 1/4. If he fires 7 times, what is the probability of his hitting the target at least twice?


A bag contains 7 red, 5 white and 8 black balls. If four balls are drawn one by one with replacement, what is the probability that none is white ?


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?


An urn contains four white and three red balls. Find the probability distribution of the number of red balls in three draws with replacement from the urn.


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 student entering a university will graduate is 0.4. Find the probability that out of 3 students of the university none 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 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 .

 

How many times must a man toss a fair coin so that the probability of having at least one head is more than 90% ?


Determine the binomial distribution whose mean is 9 and variance 9/4.

 

If the probability of a defective bolt is 0.1, find the (i) mean and (ii) standard deviation for the distribution of bolts in a total of 400 bolts.


Find the binomial distribution whose mean is 5 and variance \[\frac{10}{3} .\]

 

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.


The mean and variance of a binomial distribution are \[\frac{4}{3}\] and \[\frac{8}{9}\] respectively. Find P (X ≥ 1).

 
 

A die is tossed twice. A 'success' is getting an even number on a toss. Find the variance of number of successes.     


A die is thrown three times. Let X be 'the number of twos seen'. Find the expectation of X.    


The mean of a binomial distribution is 10 and its standard deviation is 2; write the value of q.

 

If in a binomial distribution n = 4 and P (X = 0) = \[\frac{16}{81}\] , find q.

 
 

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


A fair coin is tossed 100 times. The probability of getting tails an odd number of times is


If the mean and variance of a binomial distribution are 4 and 3, respectively, the probability of getting exactly six successes in this distribution is


Mark the correct alternative in the following question:

Which one is not a requirement of a binomial dstribution?


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 ? 


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 more than one will fuse after 150 days of use 


Find the mean and variance of the random variable X which denotes the number of doublets in four throws of a pair of dice.


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 in the binomial expansion of (1 + x)n where n is a natural number, the coefficients of the 5th, 6th and 7th terms are in A.P., then n is equal to:


If a fair coin is tossed 10 times. Find the probability of getting at most six heads.


For the binomial distribution X ∼ B(n, p), n = 6 and P(X = 4) = P(X = 2). find p.


Share
Notifications

Englishहिंदीमराठी


      Forgot password?
Use app×