हिंदी

Find the Probability of Throwing at Most 2 Sixes in 6 Throws of a Single Die - Mathematics and Statistics

Advertisements
Advertisements

प्रश्न

Find the probability of throwing at most 2 sixes in 6 throws of a single die.

योग

उत्तर

The repeated tossing of the die are Bernoulli trials. Let X represent the number of times of getting sixes in 6 throws of the die.

Probability of getting six in a single throw of die, `p = 1/6`

`therefore q = 1 - p = 1 - 1/6 = 5/6`

Clearly, X has a binomial distribution with n = 6

The p.m.f. of X is given by

P(X = x) = `"^nC_x  p^x q^(n - x)`

i.e. p(x) = `"^6C_x (1/6)^x (5/6)^(6 - x)`, x = 0, 1, 2, ....,6

P(at most 2 sixes) = P[X ≤ 2]

= p(0) + p(1) + p(2)

`= ""^6C_0 (1/6)^0 (5/6)^(6 - 0) + ""^6C_1 (1/6)^1 (5/6)^(6 - 1) + "^6C_2 (1/6)^2 (5/6)^(6 - 2)`

`= 1 xx 1 xx (5/6)^6 + 6 xx (1/6) xx (5/6)^5 + (6!)/(2!  4!) xx (1/6)^2 xx (5/6)^4`

`= (5/6)^6 + (5/6)^5 + (6 xx 5)/(2 xx 1) (1/6)^2 (5/6)^4`

`= (5/6)^6 + (5/6)^5 + 15 xx 1/36 xx (5/6)^4`

`= [(5/6)^2 + (5/6) + 15/36](5/6)^4`

`= (25/36 + 5/6 + 15/36).(5/6)^4`

`= ((25 + 30 + 15)/36) (5/6)^4`

`= 70/36 (5/6)^4`

`= 7/3 xx 10/12 xx (5/6)^4`

`= 7/3 xx 5/6 xx (5/6)^4 = 7/3 (5/6)^5`

Hence, the probability of throwing at most 2 sixes

`7/3 (5/6)^5`

shaalaa.com
  क्या इस प्रश्न या उत्तर में कोई त्रुटि है?
अध्याय 13: Probability - Exercise 13.5 [पृष्ठ ५७८]

APPEARS IN

एनसीईआरटी Mathematics [English] Class 12
अध्याय 13 Probability
Exercise 13.5 | Q 12 | पृष्ठ ५७८
बालभारती Mathematics and Statistics 2 (Arts and Science) [English] 12 Standard HSC Maharashtra State Board
अध्याय 8 Binomial Distribution
Exercise 8.1 | Q 10 | पृष्ठ २५२

वीडियो 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


A fair coin is tossed 8 times. Find the probability that it shows heads at least once


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).


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?


The probability that a bulb produced by a factory will fuse after 150 days of use is 0.05. What is the probability that out of 5 such bulbs
(i) none
(ii) not more than one
(iii) more than one
(iv) at least one, will fuse after 150 days of use.


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?


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?


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

(A) 10−1

(B) `(1/2)^5`

(C) `(9/10)^5`

(D) 9/10


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?


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.


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


A fair coin is tossed 8 times. Find the probability that it shows heads exactly 5 times.


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 ?



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 


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 bag contains 2 white, 3 red and 4 blue balls. Two balls are drawn at random from the bag. If X denotes the number of white balls among the two balls drawn, describe the probability distribution of X.


Find the probability distribution of the number of doublets in 4 throws of a pair of dice.

 

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.


Five dice are thrown simultaneously. If the occurrence of 3, 4 or 5 in a single die is considered a success, find the probability of at least 3 successes.


The mathematics department has 8 graduate assistants who are assigned to the same office. Each assistant is just as likely to study at home as in office. How many desks must there be in the office so that each assistant has a desk at least 90% of the time?


An unbiased coin is tossed 8 times. Find, by using binomial distribution, the probability of getting at least 6 heads.

 

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


Suppose that a radio tube inserted into a certain type of set has probability 0.2 of functioning more than 500 hours. If we test 4 tubes at random what is the probability that exactly three of these tubes function for more than 500 hours?


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 .

 

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

 

It is known that 60% of mice inoculated with a serum are protected from a certain disease. If 5 mice are inoculated, find the probability that more than 3 contract the disease .

 

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 all will graduate .

 

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

 
 

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?


A person buys a lottery ticket in 50 lotteries, in each of which his chance of winning a prize is \[\frac{1}{100} .\]  What is the probability that he will win a prize exactly once.


A person buys a lottery ticket in 50 lotteries, in each of which his chance of winning a prize is \[\frac{1}{100} .\]  What is the probability that he will win a prize at least twice.


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


A pair of dice is thrown 4 times. If getting a doublet is considered a success, find the probability distribution of the number of successes.


A die is thrown 5 times. Find the probability that an odd number will come up exactly three times. 


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?


Can the mean of a binomial distribution be less than its variance?

 

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

 

If the mean and variance of a binomial distribution are respectively 9 and 6, find the distribution.


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.

 
 

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.


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.


A dice is thrown thrice. A success is 1 or 6 in a throw. Find the mean and variance of the number of successes.


If X follows a binomial distribution with mean 4 and variance 2, find P (X ≥ 5).

 

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

 
 

If the sum of the mean and variance of a binomial distribution for 6 trials is \[\frac{10}{3},\]  find the distribution.

 
 

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


In a group of 200 items, if the probability of getting a defective item is 0.2, write the mean of the distribution.


If the mean and variance of a random variable X with a binomial distribution are 4 and 2 respectively, find P (X = 1).

 

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

 

If for a binomial distribution P (X = 1) = P (X = 2) = α, write P (X = 4) in terms of α.

 

If in a binomial distribution n = 4, P (X = 0) = \[\frac{16}{81}\], then P (X = 4) equals

 


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 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


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 


If X follows a binomial distribution with parameters n = 100 and p = 1/3, then P (X = r) is maximum when r =


Fifteen coupons are numbered 1 to 15. Seven coupons are selected at random one at a time with replacement. The probability that the largest number appearing on a selected coupon is 9 is


A coin is tossed 10 times. The probability of getting exactly six heads is


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


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


A coin is tossed n times. The probability of getting at least once is greater than 0.8. Then, the least value of n, is


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


Mark the correct alternative in the following question:
The probability that a person is not a swimmer is 0.3. The probability that out of 5 persons 4 are swimmers is


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 ?


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 all 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.


In 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?

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


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


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


Suppose a random variable X follows the binomial distribution with parameters n and p, where 0 < p < 1. If P(x = r)/P(x = n – r) is independent of n and r, then p equals ______.


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


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.


An ordinary dice is rolled for a certain number of times. If the probability of getting an odd number 2 times is equal to the probability of getting an even number 3 times, then the probability of getting an odd number for odd number of times is ______.


The mean and variance of a binomial distribution are α and `α/3` respectively. If P(X = 1) = `4/243`, then P(X = 4 or 5) is equal to ______.


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 ______.


A fair coin is tossed 8 times. Find the probability that it shows heads at most once.


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


Share
Notifications

Englishहिंदीमराठी


      Forgot password?
Use app×