English

Two Cards Are Drawn from a Well Shuffled Pack of 52 Cards. Find the Probability Distribution of the Number of Aces. - Mathematics

Advertisements
Advertisements

Question

Two cards are drawn from a well shuffled pack of 52 cards. Find the probability distribution of the number of aces.

Sum

Solution

Let X denote the number of aces in a sample of 2 cards drawn from a well-shuffled pack of 52 playing cards. Then, X can take the values 0, 1 and 2.
Now,

\[P\left( X = 0 \right)\]
\[ = P\left( \text{ no ace }\right)\]
\[ = \frac{{}^{48} C_2}{{}^{52} C_2}\]
\[ = \frac{2256}{2652}\]
\[ = \frac{188}{221}\]
\[P\left( X = 1 \right)\]
\[ = P\left( 1 \text{ ace } \right)\]
\[ = \frac{{}^4 C_1 \times^{48} C_1}{{}^{52} C_2}\]
\[ = \frac{192}{1326}\]
\[ = \frac{32}{221}\]
\[P\left( X = 2 \right)\]
\[ = P\left( 2 \text{ aces}  \right)\]
\[ = \frac{{}^4 C_2}{{}^{52} C_2}\]
\[ = \frac{6}{1326}\]
\[ = \frac{1}{221}\]

Thus, the probability distribution of X is given by

X P (X)
0
\[\frac{188}{221}\]
1
\[\frac{32}{221}\]
2
\[\frac{1}{221}\]
shaalaa.com
  Is there an error in this question or solution?
Chapter 32: Mean and Variance of a Random Variable - Exercise 32.1 [Page 14]

APPEARS IN

RD Sharma Mathematics [English] Class 12
Chapter 32 Mean and Variance of a Random Variable
Exercise 32.1 | Q 7 | Page 14

RELATED QUESTIONS

Of the students in a college, it is known that 60% reside in hostel and 40% are day scholars (not residing in hostel). Previous year results report that 30% of all students who reside in hostel attain A grade and 20% of day scholars attain A grade in their annual examination. At the end of the year, one student is chosen at random from the college and he has an A grade, what is the probability that the student is hostler?


Find the probability distribution of number of heads in four tosses of a coin.


Two numbers are selected at random (without replacement) from the first six positive integers. Let X denotes the larger of the two numbers obtained. Find E(X).


Which of the following distributions of probabilities of a random variable X are the probability distributions?
(i)

X : 3 2 1 0 −1
(X) : 0.3 0.2 0.4 0.1 0.05
 
(ii)
X : 0 1 2
P (X) : 0.6 0.4 0.2


(iii)

X : 0 1 2 3 4
P (X) : 0.1 0.5 0.2 0.1 0.1
 


(iv)

X : 0 1 2 3
P (X) : 0.3 0.2 0.4 0.1
 

A class has 15 students whose ages are 14, 17, 15, 14, 21, 19, 20, 16, 18, 17, 20, 17, 16, 19 and 20 years respectively. One student is selected in such a manner that each has the same chance of being selected and the age X of the selected student is recorded. What is the probability distribution of the random variable X?


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.


From a lot of 10 bulbs, which includes 3 defectives, a sample of 2 bulbs is drawn at random. Find the probability distribution of the number of defective bulbs.


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) .


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

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

 Find P(X ≤ 2) + P(X > 2) .

 

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

xi : 2 3 4
pi : 0.2 0.5 0.3

 


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

xi : −1 0 1 2 3
pi : 0.3 0.1 0.1 0.3 0.2

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

xi :  0 1 2 3 4 5
pi : 
\[\frac{1}{6}\]
\[\frac{5}{18}\]
\[\frac{2}{9}\]
\[\frac{1}{6}\]
\[\frac{1}{9}\]
\[\frac{1}{18}\]

Two cards are drawn simultaneously from a pack of 52 cards. Compute the mean and standard deviation of the number of kings.


A die is tossed twice. A 'success' is getting an odd number on a toss. Find the variance of the number of successes.


In a game, a man wins Rs 5 for getting a number greater than 4 and loses Rs 1 otherwise, when a fair die is thrown. The man decided to thrown a die thrice but to quit as and when he gets a number greater than 4. Find the expected value of the amount he wins/loses.

 

From a lot of 15 bulbs which include 5 defective, a sample of 4 bulbs is drawn one by one with replacement. Find the probability distribution of number of defective bulbs. Hence, find the mean of the distribution.     


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. 


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 : 

Aeroplanes  Cargo consignments 
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? 


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


The following table gives the age of the husbands and of the wives : 

Age of wives (in years)

Age of husbands (in years)

20-30  30- 40  40- 50  50- 60 
15-25  5 9 3 -
25-35  - 10 25 2
35-45  - 1 12 2
45-55  - - 4 16
55-65  - - - 4

Find the marginal frequency distribution of the age of husbands. 


A sample of 4 bulbs is drawn at random with replacement from a lot of 30 bulbs which includes 6 defective bulbs. Find the probability distribution of the number of defective bulbs.


A class has 15 students whose ages are 14, 17, 15, 14, 21, 17, 19, 20, 16, 18, 20, 17, 16, 19 and 20 years. If X denotes the age of a randomly selected student, find the probability distribution of X. Find the mean and variance of X.


A die is thrown 4 times. If ‘getting an odd number’ is a success, find the probability of at most 2 successes.


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


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:

  1. no defect
  2. at least one defect
    Use e−1 = 0.3678

Let the p.m.f. of a random variable X be P(x) = `(3 - x)/10`, for x = −1, 0, 1, 2 = 0, otherwise Then E(x) is ______


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


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


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

X 0.5 1 1.5 2
P(X) k k2 2k2 k

Find the value of k


Consider the probability distribution of a random variable X:

X 0 1 2 3 4
P(X) 0.1 0.25 0.3 0.2 0.15

Variance of X.


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 the value of k.


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`

Find P(X ≤ 2) + P (X > 2)


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).


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 P(X ≥ 4)


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.


Share
Notifications

Englishहिंदीमराठी


      Forgot password?
Use app×