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

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. - Mathematics and Statistics

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प्रश्न

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.

बेरीज

उत्तर १

It is given that out of 30 bulbs, 6 are defective.

⇒ Number of non-defective bulbs = 30 − 6 = 24

4 bulbs are drawn from the lot with replacement.

Let X be the random variable that denotes the number of defective bulbs in the selected bulbs.

∴ X can take the value 0, 1, 2, 3, 4.

∴ P (X = 0) = P (4 non-defective and 0 defective) = `""^4C_0 xx 4/5 xx 4/5 xx 4/5 xx 4/5 = 256/625`

P (X = 1) = P (3 non-defective and 1defective) =`""^4C_1 xx (1/5) xx (4/5)^3 = 256/625`

P (X = 2) = P (2 non-defective and 2defective) =`""^4C_2 xx (1/5)^2 xx (4/5)^2= 96/625`

P (X = 3) = P (1 non-defective and 3defective) =`""^4C_3 xx (1/5)^3xx (4/5) = 16/625`

P (X = 4) = P (0 non-defective and 4defective) =`""^4C_4 xx (1/5)^4xx (4/5)^0 = 1/625`

Therefore, the required probability distribution is as follows.

X = x 0 1 2 3 4
P (X = x) `256/625` `256/625` `96/625` `16/625` `1/625`
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उत्तर २

Here, the number of defective bulbs is the random variable.

Let the number of defective bulbs be denoted by X.

∴ X can take the value 0, 1, 2, 3, 4.

Since the draws are done with replacement, therefore the four draws are independent experiments.

Total number of bulbs is 30 which include 6 defectives.

∴ P (X = 0) = P (0) = P (all 4 non-defective bulbs)

`= 24/30 xx 24/30xx 24/30 xx 24/30 = 256/625`

P (X = 1) = P (1) = P (1 defective and 3 non-defective bulbs)

`= 6/30 xx 24/30 xx 24/30 xx 24/30 + 24/30 xx 24/30 xx 6/30 xx 24/30 + 24/30 xx 24/30 xx 6/30 xx 24/30 + 24/30 xx 24/30 xx 24/30 xx 24/30 xx 6/30 = 256/ 625`

P (X = 2) = P(2) = P (2 defective and 2 non-defective)

`= 6/30 xx 6/30 xx 24/30 xx 24/30 + 24/30 xx 6/30 xx 6/30 xx 24/30 + 24/30 xx 24/30 xx 6/30 xx6/30 + 6/30 xx 24/30 xx 6/30 xx24/30 + 6/30 xx 24/30 xx 24/30 xx 6/30 + 24/30 xx  6/30 xx 24/30 xx 6/30 = 96/625`

P (X = 3) = P (3) = P (3 defectives and 1 non-defective)

`= 6/30 xx 6/30 xx 6/30 xx 24/30 + 6/30 xx 6/30 xx ***24/30 xx6/30 + 6/30 xx 24/30 xx 6/30 xx6/30 + 24/30 xx6/30 xx6/30 xx6/30`

`= 16/625`

P (X = 4) = P (4) = P (all 4 defectives)

= `6/30 xx 6/30 xx 6/30 xx 6/30 = 1/625`

∴ The required probability distribution is

X = x 0 1 2 3 4
P (X = x) `(256)/625` `256/625` `96/625` `16/625` `1/625`
shaalaa.com

उत्तर ३

Let X denotes the number of defective bulbs.

∴ Possible values of X are 0, 1, 2, 3, 4.

Let P(getting a defective bulb) = p = `6/30 = 1/5`

∴ q = 1 – p = `1 - 1/5 = 4/5`

∴ P(X = 0) = P(no defective bulb)

= qqqq

= q4

= `(4/5)^4`

= `256/625`

P(X = 1) = P(one defective bulb)

= qqqp + qqpq + qpqq + pqqq

= 4pq3

= `4 xx 1/5 xx (4/5)^3`

= `256/625`

P(X = 2) = P(two defective bulbs)

= ppqq + pqqp + qqpp + pqpq + qpqp + qppq

= 6p2q2

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

= `96/625`

P(X = 3) = P(three defective bulbs)

= pppq + ppqp + pqpp + qppp

= 4qp3

= `4(4/5)(1/5)^3`

= `16/625`

P(X = 4) = P(four defective bulbs)

= pppp

= p4

= `(1/5)^4`

= `1/625`

∴ Probability distribution of X is as follows:

X 0 1 2 3 4
P(X = x) `256/625` `256/625` `96/625` `16/625` `1/625`
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पाठ 7: Probability Distributions - Exercise 7.1 [पृष्ठ २३२]

संबंधित प्रश्‍न

A random variable X has the following probability distribution:

then E(X)=....................


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State the following are not the probability distributions of a random variable. Give reasons for your answer.

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Find the probability distribution of the number of successes in two tosses of a die, where a success is defined as

(i) number greater than 4

(ii) six appears on at least one die


A random variable X has the following probability distribution.

X 0 1 2 3 4 5 6 7
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2k2

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(iii) P (X > 6)

(iv) P (0 < X < 3)


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(ii)
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(iii)

X : 0 1 2 3 4
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(iv)

X : 0 1 2 3
P (X) : 0.3 0.2 0.4 0.1
 

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where c > 0  Find: P (X < 2) 


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

xi : 0 1 2
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where c > 0  Find: P (1 < X ≤ 2)


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Determine the value of k .


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x 0 1 2 3
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\[\frac{k}{2}\]
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Determine P(X ≤ 2) and P(X > 2) .


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

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

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pi :  0.2 0.5 0.2 0.1

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

xi :  -2 -1 0 1 2
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Find the mean and standard deviation of each of the following probability distribution :

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A discrete random variable X has the probability distribution given below:

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Find the value of k.


A discrete random variable X has the probability distribution given below:

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Determine the mean of the distribution.                


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\[\frac{1 - 2a}{4}\]
\[\frac{1 + a}{4}\]

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Mark the correct alternative in the following question:
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X: −4 −3 −2 −1 0
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The value of E(X) is

 

 


Mark the correct alternative in the following question:

For the following probability distribution:
 

X : 1 2 3 4
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\[\frac{1}{10}\]
 

\[\frac{1}{5}\]
 

\[\frac{3}{10}\]
 

\[\frac{2}{5}\]


The value of E(X2) is


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lx 1000 880 876
T - - 3323

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(a) elasticity of demand as function of p.
(b) elasticity of demand when p = 10 , interpret your result.


Using the truth table verify that p ∨ (q ∧ r) ≡ (p ∨ q) ∧ (p ∨ r).


If the demand function is D = 150 - p2 - 3p, find marginal revenue, average revenue and elasticity of demand for price p = 3. 


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
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John and Mathew started a business with their capitals in the ratio 8 : 5. After 8 months, john added 25% of his earlier capital as further investment. At the same time, Mathew withdrew 20% of bis earlier capital. At the end of the year, they earned ₹ 52000 as profit. How should they divide the profit between them? 


Three different aeroplanes are to be assigned to carry three cargo consignments with a view to maximize profit. The profit matrix (in lakhs of ₹) is as follows : 

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C1 C2 C3
A1 1 4 5
A2 2 3 3
A3 3 1 2

How should the cargo consignments be assigned to the aeroplanes to maximize the profit? 


A fair coin is tossed 12 times. Find the probability of getting  at least 2 heads .


If random variable X has probability distribution function.
f(x) = `c/x`, 1 < x < 3, c > 0, find c, E(x) and Var(X)


If p : It is a day time , q : It is warm 
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20-30  30- 40  40- 50  50- 60 
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35-45  - 1 12 2
45-55  - - 4 16
55-65  - - - 4

Find the marginal frequency distribution of the age of husbands. 


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Find E(X).


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(a) No defects
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The probability that a bomb dropped from an aeroplane will strike a target is `1/5`, If four bombs are dropped, find the probability that : 

(a) exactly two will strike the target,
(b) at least one will strike the target. 


Amit and Rohit started a business by investing ₹20,000 each. After 3 months Amit withdrew ₹5,000 and Rohit put in ₹5,000 additionally. How should a profit of ₹12,800 be divided between them at the end of the year? 


A random variable X has the following probability distribution :

X 0 1 2 3 4 5 6
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Find the value of C and also calculate the mean of this distribution.


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Solve the following :

Identify the random variable as either discrete or continuous in each of the following. Write down the range of it.

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f (x) = `1/ (2a)` , for 0 < x < 2a and = 0, otherwise. Show that `P [X < a/ 2] = P [X >( 3a)/ 2]` .


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 random variable X has the following probability distribution :

x = x 0 1 2 3       7
P(X=x) 0 k 2k 2k 3k k2 2k2 7k2 + k

Determine (i) k

(ii) P(X> 6)

(iii) P(0<X<3).


Determine whether each of the following is a probability distribution. Give reasons for your answer.

x 0 1 2
P(x) 0.4 0.4 0.2

Determine whether each of the following is a probability distribution. Give reasons for your answer.

x 0 1 2 3 4
P(x) 0.1 0.5 0.2 –0.1 0.3

Determine whether each of the following is a probability distribution. Give reasons for your answer.

x 0 1 2
P(x) 0.1 0.6 0.3

Determine whether each of the following is a probability distribution. Give reasons for your answer.

z 3 2 1 0 -1
P(z) 0.3 0.2 0.4. 0.05 0.05

Determine whether each of the following is a probability distribution. Give reasons for your answer.

y –1 0 1
P(y) 0.6 0.1 0.2

Find the probability distribution of the number of successes in two tosses of a die if success is defined as getting a number greater than 4.


10 balls are marked with digits 0 to 9. If four balls are selected with replacement. What is the probability that none is marked 0?


Defects on plywood sheet occur at random with the average of one defect per 50 Sq.ft. Find the probability that such a sheet has no defect


Solve the following problem :

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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 even.


Solve the following problem :

Find the probability of the number of successes in two tosses of a die, where success is defined as number greater than 4.


Solve the following problem :

The probability that a bomb will hit the target is 0.8. Find the probability that, out of 5 bombs, exactly 2 will miss the target.


Solve the following problem :

A large chain retailer purchases an electric device from the manufacturer. The manufacturer indicates that the defective rate of the device is 10%. The inspector of the retailer randomly selects 4 items from a shipment. Find the probability that the inspector finds at most one defective item in the 4 selected items.


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 :

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

Find the probability that the visitor obtains the answer yes from at least 3 students.


A random variable X has the following probability distribution

X 2 3 4
P(x) 0.3 0.4 0.3

Then the variance of this distribution is


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

X 0 1 2 3
P(X) k `"k"/2` `"k"/4` `"k"/8`

Determine P(X ≤ 2) and P(X > 2)


Two biased dice are thrown together. For the first die P(6) = `1/2`, the other scores being equally likely while for the second die, P(1) = `2/5` and the other scores are equally likely. Find the probability distribution of ‘the number of ones seen’.


Two probability distributions of the discrete random variable X and Y are given below.

X 0 1 2 3
P(X) `1/5` `2/5` `1/5` `1/5`

 

Y 0 1 2 3
P(Y) `1/5` `3/10` `2/10` `1/10`

Prove that E(Y2) = 2E(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 Standard deviation of X.


The probability distribution of a random variable x is given as under:
P(X = x) = `{{:("k"x^2,  "for"  x = 1"," 2"," 3),(2"k"x,  "for"  x = 4"," 5"," 6),(0,  "otherwise"):}`
where k is a constant. Calculate E(X)


The probability distribution of a random variable x is given as under:
P(X = x) = `{{:("k"x^2,  "for"  x = 1"," 2"," 3),(2"k"x,  "for"  x = 4"," 5"," 6),(0,  "otherwise"):}`
where k is a constant. Calculate E(3X2)


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

X 2 3 4 5
P(X) `5/"k"` `7/"k"` `9/"k"` `11/"k"`

The value of k is ______.


A bag contains 1 red and 3 white balls. Find the probability distribution of the number of red balls if 2 balls are drawn at random from the bag one-by-one without replacement.


Find the probability distribution of the number of successes in two toves of a die where a success is define as:- Six appeared on at least one die.


A person throws two fair dice. He wins ₹ 15 for throwing a doublet (same numbers on the two dice), wins ₹ 12 when the throw results in the sum of 9, and loses ₹ 6 for any other outcome on the throw. Then the expected gain/loss (in ₹) of the person is ______.


Find the mean of number randomly selected from 1 to 15.


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)

Two numbers are selected from first six even natural numbers at random without replacement. If X denotes the greater of two numbers selected, find the probability distribution of X.


A box contains 30 fruits, out of which 10 are rotten. Two fruits are selected at random one by one without replacement from the box. Find the probability distribution of the number of unspoiled fruits. Also find the mean of the probability distribution.


Five numbers x1, x2, x3, x4, x5 are randomly selected from the numbers 1, 2, 3, ......., 18 and are arranged in the increasing order such that x1 < x2 < x3 < x4 < x5. What is the probability that x2 = 7 and x4 = 11?


Kiran plays a game of throwing a fair die 3 times but to quit as and when she gets a six. Kiran gets +1 point for a six and –1 for any other number.

  1. If X denotes the random variable “points earned” then what are the possible values X can take?
  2. Find the probability distribution of this random variable X.
  3. Find the expected value of the points she gets.

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