हिंदी

If the probability that a fluorescent light has a useful life of at least 800 hours is 0.9, find the probabilities that among 20 such lights at least 2 will not have a useful life of at least 800 hours. - Mathematics and Statistics

Advertisements
Advertisements

प्रश्न

If the probability that a fluorescent light has a useful life of at least 800 hours is 0.9, find the probabilities that among 20 such lights at least 2 will not have a useful life of at least 800 hours. [Given : (0⋅9)19 = 0⋅1348]

 

Advertisements

उत्तर

Let X be the number of fluorescent lights that have a useful life of at least 800 hours. 
P(a light has useful life of at least 800 hours) = p = 0.9, q = 1 - 0.9 = 0.1
Given n = 20
∴ X ~ B (20, 0.9)
The p.m.f. of X is given by

P(X = x) = p(x) = 20Cx (0.9)x (0.1)20-x , x = 0,1,2, ……,20 
P(at least 2 lights will not have a useful life) = P(at most 18 will have useful life)

= P(X ≤ 18) = 1 - P(X > 18)
= 1 - [P(X = 19) + P(X = 20)]

= 1 - [20C19 (0.9)19 (0.1) + 20C20 (0.9)20]

`= 1-[20xx9^19/10^20+9^20/10^20]=1-[9^19/10^20(20+9)]`

`=1-((9^19xx29)/10^20)`

Let M=`(29xx9^19)/10^20`

log M=log 29 + 19 log 9 - 20 log 10
= 1.4624 + 19 × 0.9542 - 20 × 1
= 1.4624 + 18.1298 - 20
= 19.5922 - 20
= 19.5922 - 19 - 1

`= bar1 .5922`

∴ M = Antilog (  `bar1 .5922` ) = 0.3910
∴ P(at least two lights will not have a useful life) = 1 - 0.3910 = 0.6090

shaalaa.com
  क्या इस प्रश्न या उत्तर में कोई त्रुटि है?
2015-2016 (July)

APPEARS IN

संबंधित प्रश्न

Probability distribution of X is given by

X = x 1 2 3 4
P(X = x) 0.1 0.3 0.4 0.2

Find P(X ≥ 2) and obtain cumulative distribution function of X


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


The random variable X has probability distribution P(X) of the following form, where k is some number:

`P(X = x) {(k, if x = 0),(2k, if x = 1),(3k, if x = 2),(0, "otherwise"):}`

  1. Determine the value of 'k'.
  2. Find P(X < 2), P(X ≥ 2), P(X ≤ 2).

Suppose that two cards are drawn at random from a deck of cards. Let X be the number of aces obtained. Then the value of E(X) is

(A) `37/221`

(B) 5/13

(C) 1/13

(D) 2/13


Three persons A, B and C shoot to hit a target. If A hits the target four times in five trials, B hits it three times in four trials and C hits it two times in three trials, find the probability that:

1) Exactly two persons hit the target.

2) At least two persons hit the target.

3) None hit the target.


Two numbers are selected at random (without replacement) from positive integers 2, 3, 4, 5, 6 and 7. Let X denote the larger of the two numbers obtained. Find the mean and variance of the probability distribution of X.


The probability distribution function of a random variable X is given by

xi : 0 1 2
pi : 3c3 4c − 10c2 5c-1
 

where c > 0 Find:  c 


Find the probability distribution of the number of heads, when three coins are tossed. 


Five defective mangoes are accidently mixed with 15 good ones. Four mangoes are drawn at random from this lot. Find the probability distribution of the number of defective mangoes.


Find the probability distribution of the number of white balls drawn in a random draw of 3 balls without replacement, from a bag containing 4 white and 6 red balls


Two cards are drawn simultaneously from a well-shuffled deck of 52 cards. Find the probability distribution of the number of successes, when getting a spade is considered a success. 


A fair die is tossed twice. If the number appearing on the top is less than 3, it is a success. Find the probability distribution of number of successes.


Let X represent the difference between the number of heads and the number of tails when a coin is tossed 6 times. What are the possible values of X?


The probability distribution of a random variable X is given below:

x 0 1 2 3
P(X) k
\[\frac{k}{2}\]
\[\frac{k}{4}\]
\[\frac{k}{8}\]

Determine P(X ≤ 2) and P(X > 2) .


Find the mean and standard deviation of each of the following probability distribution :

xi : 1 2 3 4
pi : 0.4 0.3 0.2 0.1

Find the mean and standard deviation of each of the following probability distribution :

xi :  -2 -1 0 1 2
pi :  0.1 0.2 0.4 0.2 0.1

Two bad eggs are accidently mixed up with ten good ones. Three eggs are drawn at random with replacement from this lot. Compute the mean for the number of bad eggs drawn.


A pair of fair dice is thrown. Let X be the random variable which denotes the minimum of the two numbers which appear. Find the probability distribution, mean and variance of X.

 

If the probability distribution of a random variable X is as given below:

Write the value of P (X ≤ 2).

X = xi : 1 2 3 4
P (X = xi) : c 2c 4c 4c

 

 

A random variable X has the following probability distribution:

X : 1 2 3 4 5 6 7 8
P (X) : 0.15 0.23 0.12 0.10 0.20 0.08 0.07 0.05

For the events E = {X : X is a prime number}, F = {X : X < 4}, the probability P (E ∪ F) is


Three cards are drawn successively with replacement from a well shuffled pack of 52 cards. Find the probability distribution of the number of spades. Hence, find the mean of the distribtution. 


Find mean and standard deviation of the continuous random variable X whose p.d.f. is given by f(x) = 6x(1 - x);= (0);      0 < x < 1(otherwise)


Compute the age specific death rate for the following data : 

Age group (years) Population (in thousands) Number of deaths
Below 5  15 360
5-30  20 400
Above 30  10 280

If X ∼ N (4,25), then find P(x ≤ 4)


The p.d.f. of r.v. of X is given by

f (x) = `k /sqrtx` , for 0 < x < 4 and = 0, otherwise. Determine k .

Determine c.d.f. of X and hence P (X ≤ 2) and P(X ≤ 1).


A die is thrown 4 times. If ‘getting an odd number’ is a success, find the probability of at least 3 successes


The probability that a bulb produced by a factory will fuse after 200 days of use is 0.2. Let X denote the number of bulbs (out of 5) that fuse after 200 days of use. Find the probability of X > 1


Solve the following problem :

Following is the probability distribution of a r.v.X.

X – 3 – 2 –1 0 1 2 3
P(X = x) 0.05 0.1 0.15 0.20 0.25 0.15 0.1

Find the probability that X is positive.


Solve the following problem:

Following is the probability distribution of a r.v.X.

X – 3 – 2 –1 0 1 2 3
P(X = x) 0.05 0.1 0.15 0.20 0.25 0.15 0.1

Find the probability that X is odd.


Solve the following problem :

The probability that a machine will produce all bolts in a production run within the specification is 0.9. A sample of 3 machines is taken at random. Calculate the probability that all machines will produce all bolts in a production run within the specification.


Solve the following problem :

In a large school, 80% of the students like mathematics. A visitor asks each of 4 students, selected at random, whether they like mathematics.

Calculate the probabilities of obtaining an answer yes from all of the selected students.


Solve the following problem :

It is observed that it rains on 10 days out of 30 days. Find the probability that it rains on exactly 3 days of a week.


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


Find the mean and variance of the number randomly selected from 1 to 15


Let a pair of dice be thrown and the random variable X be the sum of the numbers that appear on the two dice. Find the mean or expectation of X and variance of X


The random variable X can take only the values 0, 1, 2. Given that P(X = 0) = P(X = 1) = p and that E(X2) = E[X], find the value of p


Let X be a discrete random variable whose probability distribution is defined as follows:
P(X = x) = `{{:("k"(x + 1),  "for"  x = 1"," 2"," 3"," 4),(2"k"x,  "for"  x = 5"," 6"," 7),(0,  "Otherwise"):}`
where k is a constant. Calculate E(X)


A random variable X has the following probability distribution:

x 1 2 3 4 5 6 7
P(x) k 2k 2k 3k k2 2k2 7k2 + k

Find:

  1. k
  2. P(X < 3)
  3. P(X > 4)

Share
Notifications

Englishहिंदीमराठी


      Forgot password?
Use app×