English

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

Advertisements
Advertisements

Question

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

Sum
Advertisements

Solution

Probability of getting at most 6 heads

= 1 – [P (7 Heads) + P(8 Heads) + P(9 Heads) + P(10 Heads)]

= 1 – [10C7 (0.5)10 + 10C8 (0.5)10 + 10C9 (0.5)10 + 10C10 (0.5)10]  ......`[∵ p = 1/2, q = 1/2]`

= `1 - [(10 xx 9 xx 8)/(3 xx 2) + (10 xx 9)/2 + 10 + 1] (0.5)^10`

= 1 –[120 + 45 + 11] (0.5)10

= `1 - 176 xx (1/2)^10`

= `(1024 - 176)/1024`

= `848/1024`

= `53/64`

shaalaa.com
  Is there an error in this question or solution?
2021-2022 (March) Set 1

Video TutorialsVIEW ALL [1]

RELATED QUESTIONS

There are 5% defective items in a large bulk of items. What is the probability that a sample of 10 items will include not more than one defective item?


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


In a hurdle race, a player has to cross 10 hurdles. The probability that he will clear each hurdle is 5/6 . What is the probability that he will knock down fewer than 2 hurdles?


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 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?


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 none will fuse after 150 days of use 


A coin is tossed 5 times. If X is the number of heads observed, find the probability distribution of X.

 

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 exactly 2 will strike the target .


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.

 

In a hospital, there are 20 kidney dialysis machines and the chance of any one of them to be out of service during a day is 0.02. Determine the probability that exactly 3 machines will be out of service on the same day.


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 .


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.


Suppose X has a binomial distribution with = 6 and \[p = \frac{1}{2} .\]  Show that X = 3 is the most likely outcome.

 
 

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 twice.


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?

 

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.


A box has 20 pens of which 2 are defective. Calculate the probability that out of 5 pens drawn one by one with replacement, at most 2 are defective.


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

 

The mean of a binomial distribution is 20 and the standard deviation 4. Calculate the parameters of the binomial distribution.


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.


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

 

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

 
 

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.  


Let X denote the number of times heads occur in n tosses of a fair coin. If P (X = 4), P (X= 5) and P (X = 6) are in AP, the value of n 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


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 = 100 and p = 1/3, then P (X = r) is maximum when r =


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


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 


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


For Bernoulli Distribution, state formula for E(X) and V(X).


The mean, median and mode for binomial distribution will be equal when


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:


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.


If a random variable X follows the Binomial distribution B(5, p) such that P(X = 0) = P(X = 1), then `(P(X = 2))/(P(X = 3))` is equal to ______.


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 ______.


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


If the sum of mean and variance of a binomial distribution is `25/9` for 5 trials, find p.


If X ∼ B(n, p), n = 6 and 9 P(X = 4) = P(X = 2), then find the value of p.


Share
Notifications

Englishहिंदीमराठी


      Forgot password?
Use app×