मराठी
महाराष्ट्र राज्य शिक्षण मंडळएचएससी विज्ञान (सामान्य) इयत्ता १२ वी

The probability that a bomb will hit a target is 0.8. Find the probability that out of 10 bombs dropped, exactly 2 will miss the target. - Mathematics and Statistics

Advertisements
Advertisements

प्रश्न

The probability that a bomb will hit a target is 0.8. Find the probability that out of 10 bombs dropped, exactly 2 will miss the target.

बेरीज

उत्तर

Let X = number of bombs hitting the target.

p = probability that bomb will hit the target

∴ p = 0.8 = `8/10 = 4/5`

∴ q = 1 - p = `1 - 4/5 = 1/5`

Given: n = 10

∴ X ~ B `(10, 4/5)`

The p.m.f. of X is given as :

P[X = x] = `"^nC_x  p^x  q^(n - x)`

i.e. p(x) = `"^10C_x (4/5)^x (1/5)^(10 - x)`

P (exactly 2 bombs will miss the target) 

= P (exactly 8 bombs will hit the target)

= P[X = 8] = p(8)

`= "^10C_8 (4/5)^8 (1/5)^(10 - 8)`

`= "^10C_2 (4/5)^8 (1/5)^2   ....[because "^nC_x = "^nC_(n - x)]`

`= (10 xx 9)/(1 xx 2) xx 4^8/5^10 = (45 xx 4^8)/5^10 = 45(2^16/5^10)`

Hence, the probability that exactly 2 bombs will miss the target = `45(2^16/5^10)`

shaalaa.com

Notes

The answer in the textbook is incorrect.

Binomial Distribution
  या प्रश्नात किंवा उत्तरात काही त्रुटी आहे का?
पाठ 8: Binomial Distribution - Miscellaneous exercise 2 [पृष्ठ २५४]

APPEARS IN

बालभारती Mathematics and Statistics 2 (Arts and Science) [English] 12 Standard HSC Maharashtra State Board
पाठ 8 Binomial Distribution
Miscellaneous exercise 2 | Q 4 | पृष्ठ २५४

संबंधित प्रश्‍न

The probability that a certain kind of component will survive a check test is 0.6. Find the probability that exactly two of the next four components tested will survive.


A die is thrown 6 times. If ‘getting an odd number’ is a success, find the probability of 5 successes. 


A die is thrown 6 times. If ‘getting an odd number’ is a success, find the probability of at most 5 successes.


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


Five cards are drawn successively with replacement from a well-shuffled deck of 52 cards, find the probability that only 3 cards are spades


Five cards are drawn successively with replacement from a well-shuffled deck of 52 cards; find the probability that none is a spade.


In a box of floppy discs, it is known that 95% will work. A sample of three of the discs is selected at random. Find the probability that exactly one floppy disc work.


Choose the correct option from the given alternatives:

A die is thrown 100 times. If getting an even number is considered a success, then the standard deviation of the number of successes is ______.


Choose the correct option from the given alternatives:

The mean and the variance of a binomial distribution are 4 and 2 respectively. Then the probability of 2 successes is


Choose the correct option from the given alternatives:

For a binomial distribution, n = 5. If P(X = 4) = P(X = 3), then p = ______


Choose the correct option from the given alternatives:

For a binomial distribution, n = 4. If 2P(X = 3) = 3P(X = 2), then p = ______


If X ~ B(4, p) and P(X = 0) = `16/81`, then P(X = 4) = ______.


If the mean and variance of a binomial distribution are 18 and 12 respectively, then n = ______.


The probability that a mountain-bike travelling along a certain track will have a tyre burst is 0.05. Find the probability that among 17 riders: exactly one has a burst tyre


The probability that a mountain-bike travelling along a certain track will have a tyre burst is 0.05. Find the probability that among 17 riders: at most three have a burst tyre


A lot of 100 items contain 10 defective items. Five items are selected at random from the lot and sent to the retail store. What is the probability that the store will receive at most one defective item?


A large chain retailer purchases a certain kind of electronic device from a manufacturer. The manufacturer indicates that the defective rate of the device is 3%. The inspector of the retailer picks 20 items from a shipment. What is the probability that the store will receive at most one defective item?


The probability that a machine will produce all bolts in a production run within specification is 0.998. A sample of 8 machines is taken at random. Calculate the probability that all 8 machines.


The probability that a machine will produce all bolts in a production run within specification is 0.998. A sample of 8 machines is taken at random. Calculate the probability that 7 or 8 machines.


The probability that a machine develops a fault within the first 3 years of use is 0.003. If 40 machines are selected at random, calculate the probability that 38 or more will not develop any faults within the first 3 years of use.


A computer installation has 10 terminals. Independently, the probability that any one terminal will require attention during a week is 0.1. Find the probabilities that 0.


A computer installation has 10 terminals. Independently, the probability that any one terminal will require attention during a week is 0.1. Find the probabilities that 1.


A computer installation has 10 terminals. Independently, the probability that any one terminal will require attention during a week is 0.1. Find the probabilities that 3 or more, terminals will require attention during the next week.


It is observed that it rains on 12 days out of 30 days. Find the probability that it rains exactly 3 days of week.


If the probability of success in a single trial is 0.01. How many trials are required in order to have a probability greater than 0.5 of getting at least one success?


Fill in the blank :

In Binomial distribution probability of success Remains constant / independent from trial to trial.


In a Binomial distribution with n = 4, if 2P(X = 3) = 3P(X = 2), then value of p is ______.


If X ~ B(n, p) with n = 10, p = 0.4, then find E(X2).


State whether the following statement is True or False:

For the Binomial distribution, Mean E(X) = m and Variance = Var(X) = m


If the sum of the mean and the variance of a binomial distribution for 5 trials Is 1.8, then p = ______.


If X follows a binomial distribution with parameters n = 10 and p. If 4P(X = 6) = P(X = 4), then p = ______ 


In a binomial distribution `B(n, p = 1/4)`, if the probability of at least one success is greater than or equal to `9/10`, then n is greater than ______.


If X∼B (n, p) with n = 10, p = 0.4 then E(X2) = ______.


In a binomial distribution, n = 4 and 2P(X = 3) = 3P(X = 2), then q = ______.


Share
Notifications

Englishहिंदीमराठी


      Forgot password?
Use app×