Advertisements
Advertisements
प्रश्न
Three cards are drawn at random (without replacement) from a well shuffled pack of 52 cards. Find the probability distribution of number of red cards. Hence, find the mean of the distribution .
उत्तर
Let X denotes the number of red cards drawn.
Then, X can take the values 0, 1, 2 or 3.
Now,
\[P\left( X = 0 \right) = P\left( BBB \right) = \frac{26}{52} \times \frac{25}{51} \times \frac{24}{50} = \frac{2}{17}, \]
\[P\left( X = 1 \right) = P\left( RBB \text{ or }BRB \text{ or } BBR \right) = 3 \times \frac{26}{52} \times \frac{26}{51} \times \frac{25}{50} = \frac{13}{34}, \]
\[P\left( X = 2 \right) = P\left( RRB \text{ or } RBR \text{ or } BRR \right) = 3 \times \frac{26}{52} \times \frac{25}{51} \times \frac{26}{50} = \frac{13}{34}, \]
\[P\left( X = 3 \right) = P\left( RRR \right) = \frac{26}{52} \times \frac{25}{51} \times \frac{24}{50} = \frac{2}{17}\]
Thus, the probability distribution of X is given by
X | P(X) |
0 |
\[\frac{2}{17}\]
|
1 |
\[\frac{13}{34}\]
|
2 |
\[\frac{13}{34}\]
|
3 |
\[\frac{2}{17}\]
|
\[\text{ Mean } = \sum p_i x_i = 0 \times \frac{2}{17} + 1 \times \frac{13}{34} + 2 \times \frac{13}{34} + 3 \times \frac{2}{17}\]
\[ = 0 + \frac{13}{34} + \frac{26}{34} + \frac{6}{17}\]
\[ = \frac{51}{34}\]
\[ = \frac{3}{2}\]
\[ = 1 . 5\]
APPEARS IN
संबंधित प्रश्न
There are 4 cards numbered 1, 3, 5 and 7, one number on one card. Two cards are drawn at random without replacement. Let X denote the sum of the numbers on the two drawn cards. Find the mean 'and variance of X.
There are 4 cards numbered 1 to 4, one number on one card. Two cards are drawn at random without replacement. Let X denote the sum of the numbers on the two drawn cards. Find the mean and variance of X.
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.
Find the probability distribution of the number of doublets in four throws of a pair of dice. Also find the mean and variance of this distribution.
Which of the following distributions of probabilities of a random variable X are the probability distributions?
(i)
X : | 3 | 2 | 1 | 0 | −1 |
P (X) : | 0.3 | 0.2 | 0.4 | 0.1 | 0.05 |
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 random variable X takes the values 0, 1, 2 and 3 such that:
P (X = 0) = P (X > 0) = P (X < 0); P (X = −3) = P (X = −2) = P (X = −1); P (X = 1) = P (X = 2) = P (X = 3) . Obtain the probability distribution of 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
Find the probability distribution of Y in two throws of two dice, where Y represents the number of times a total of 9 appears.
From a lot containing 25 items, 5 of which are defective, 4 are chosen at random. Let X be the number of defectives found. Obtain the probability distribution of X if the items are chosen without replacement .
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 distribution :
xi : | -5 | -4 | 1 | 2 |
pi : | \[\frac{1}{4}\] | \[\frac{1}{8}\] | \[\frac{1}{2}\] | \[\frac{1}{8}\] |
A fair coin is tossed four times. Let X denote the number of heads occurring. Find the probability distribution, mean and variance of X.
A die is tossed twice. A 'success' is getting an odd number on a toss. Find the variance of the number of successes.
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 |
Let X be a random variable which assumes values x1 , x2, x3 , x4 such that 2P (X = x1) = 3P (X = x2) = P (X = x3) = 5P (X = x4). Find the probability distribution of X.
A departmental store gives trafnfng to the salesmen in service followed by a test. It is experienced that the performance regarding sales of any salesman is linearly related to the scores secured by him. The following data gives the test scores and sales made by nine (9) salesmen during a fixed period.
Test scores (X) | 16 | 22 | 28 | 24 | 29 | 25 | 16 | 23 | 24 |
Sales (Y) (₹ in hundreds) | 35 | 42 | 57 | 40 | 54 | 51 | 34 | 47 | 45 |
(a) Obtain the line of regression of Y on X.
(b) Estimate Y when X = 17.
A fair coin is tossed 12 times. Find the probability of getting exactly 7 heads .
From the following data, find the crude death rates (C.D.R.) for Town I and Town II, and comment on the results :
Age Group (in years) | Town I | Town II | ||
Population | No. of deaths | Population | No. of deaths | |
0-10 | 1500 | 45 | 6000 | 150 |
10-25 | 5000 | 30 | 6000 | 40 |
25 - 45 | 3000 | 15 | 5000 | 20 |
45 & above | 500 | 22 | 3000 | 54 |
Find expected value and variance of X, where X is number obtained on uppermost face when a fair die is thrown.
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 |
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
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
In a multiple choice test with three possible answers for each of the five questions, what is the probability of a candidate getting four or more correct answers by random choice?
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 :
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.
Let X be a discrete random variable. The probability distribution of X is given below:
X | 30 | 10 | – 10 |
P(X) | `1/5` | `3/10` | `1/2` |
Then E(X) is equal to ______.
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.
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 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)
The probability that a bomb will hit the target is 0.8. Complete the following activity to find, the probability that, out of 5 bombs exactly 2 will miss the target.
Solution: Here, n = 5, X =number of bombs that hit the target
p = probability that bomb will hit the target = `square`
∴ q = 1 - p = `square`
Here, `X∼B(5,4/5)`
∴ P(X = x) = `""^"n""C"_x"P"^x"q"^("n" - x) = square`
P[Exactly 2 bombs will miss the target] = P[Exactly 3 bombs will hit the target]
= P(X = 3)
=`""^5"C"_3(4/5)^3(1/5)^2=10(4/5)^3(1/5)^2`
∴ P(X = 3) = `square`
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. Complete the following activity to find the probability that the inspector finds at most one defective item in the 4 selected items.
Solution:
Here, n = 4
p = probability of defective device = 10% = `10/100 = square`
∴ q = 1 - p = 1 - 0.1 = `square`
X ∼ B(4, 0.1)
`P(X=x)=""^n"C"_x p^x q^(n-x)= ""^4"C"_x (0.1)^x (0.9)^(4 - x)`
P[At most one defective device] = P[X ≤ 1]
= P[X=0] + P[X=1]
= `square+square`
∴ P[X ≤ 1] = `square`
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.
A primary school teacher wants to teach the concept of 'larger number' to the students of Class II.
To teach this concept, he conducts an activity in his class. He asks the children to select two numbers from a set of numbers given as 2, 3, 4, 5 one after the other without replacement.
All the outcomes of this activity are tabulated in the form of ordered pairs given below:
2 | 3 | 4 | 5 | |
2 | (2, 2) | (2, 3) | (2, 4) | |
3 | (3, 2) | (3, 3) | (3, 5) | |
4 | (4, 2) | (4, 4) | (4, 5) | |
5 | (5, 3) | (5, 4) | (5, 5) |
- Complete the table given above.
- Find the total number of ordered pairs having one larger number.
- Let the random variable X denote the larger of two numbers in the ordered pair.
Now, complete the probability distribution table for X given below.
X 3 4 5 P(X = x) - Find the value of P(X < 5)
- Calculate the expected value of the probability distribution.