English

How Many Times Must a Man Toss a Fair Coin So that the Probability of Having at Least One Head is More than 90%? - Mathematics

Advertisements
Advertisements

Question

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

Solution

Let the man toss the coin n times. The n tosses are n Bernoulli trials.

Probability (p) of getting a head at the toss of a coin is `1/2`

It is given that,

P (getting at least one head) > `90/100`

P (x ≥ 1) > 0.9

⇒ 1 − P (x = 0) > 0.9

The minimum value of n that satisfies the given inequality is 4.

Thus, the man should toss the coin 4 or more than 4 times.

shaalaa.com
  Is there an error in this question or solution?
Chapter 13: Probability - Exercise 13.6 [Page 583]

APPEARS IN

NCERT Mathematics [English] Class 12
Chapter 13 Probability
Exercise 13.6 | Q 10 | Page 583

Video TutorialsVIEW ALL [1]

RELATED QUESTIONS

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.


Given X ~ B (n, p)
If n = 10 and p = 0.4, find E(X) and var (X).


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?


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)


On a multiple choice examination with three possible answers for each of the five questions, what is the probability that a candidate would get four or more correct answers just by guessing?


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 in a prize (a) at least once (b) exactly once (c) at least twice?


A couple has two children, Find the probability that both children are males, if it is known that at least one of the children is male.


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


A fair coin is tossed 9 times. Find the probability that it shows head exactly 5 times.


If getting 5 or 6 in a throw of an unbiased die is a success and the random variable X denotes the number of successes in six throws of the die, find P (X ≥ 4).

 

Six coins are tossed simultaneously. Find the probability of getting
(i) 3 heads
(ii) no heads
(iii) at least one head


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 .

 

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 at least 2 will strike the target

 

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.

 

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.


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.


In a multiple-choice examination with three possible answers for each of the five questions out of which only one is correct, what is the probability that a candidate would get four or more correct answers just by guessing?


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


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


From a lot of 30 bulbs that includes 6 defective bulbs, a sample of 4 bulbs is drawn at random with replacement. Find the probability distribution of the number of defective bulbs.


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

 

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.


A fair coin is tossed a fixed number of times. If the probability of getting seven heads is equal to that of getting nine heads, the probability of getting two heads is


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 =


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


A coin is tossed 4 times. The probability that at least one head turns up is


The probability of selecting a male or a female is same. If the probability that in an office of n persons (n − 1) males being selected is  \[\frac{3}{2^{10}}\] , the value of n is

 


Mark the correct alternative in the following question:

Which one is not a requirement of a binomial dstribution?


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


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 any two are white ?


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


Bernoulli distribution is a particular case of binomial distribution if n = ______


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


In a box containing 100 bulbs, 10 are defective. The probability that out of a sample of 5 bulbs, none is defective is:-


If a random variable X follows the Binomial distribution B (33, p) such that 3P(X = 0) = P(X = 1), then the value of `(P(X = 15))/(P(X = 18)) - (P(X = 16))/(P(X = 17))` is equal to ______.


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.


A fair coin is tossed 6 times. Find the probability of getting heads 4 times.


Share
Notifications

Englishहिंदीमराठी


      Forgot password?
Use app×