Advertisements
Advertisements
Question
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 |
Solution
(i) P (X = 3) + P (X = 2) + P (X = 1) + P (X = 0) + P (X = -1)
= 0.3 + 0.2 + 0.4 + 0.1 + 0.05
=1.05 > 1
It is not the probability distribution of random variable X.
(ii) P (X = 0) + P (X = 1) + P (X = 2)
= 0.6 + 0.4 + 0.2
= 1.2 > 1
It is not the probability distribution of random variable X.
(iii) P (X = 0) + P (X = 1) + P (X = 2) + P (X = 3) + P (X = 4)
= 0.1 + 0.5 + 0.2 + 0.1 + 0.1
= 1
It is the probability distribution of random variable X.
(iv) P (X = 0) + P (X = 1) + P (X = 2) + P (X = 3)
= 0.3 + 0.2 + 0.4 + 0.1
= 1
It is the probability distribution of random variable X.
APPEARS IN
RELATED QUESTIONS
From a lot of 15 bulbs which include 5 defectives, 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.
State the following are not the probability distributions of a random variable. Give reasons for your answer.
X | 0 | 1 | 2 | 3 | 4 |
P(X) | 0.1 | 0.5 | 0.2 | -0.1 | 0.3 |
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"):}`
- Determine the value of 'k'.
- Find P(X < 2), P(X ≥ 2), P(X ≤ 2).
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]
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.
A random variable X has the following probability distribution:
Values of X : | −2 | −1 | 0 | 1 | 2 | 3 |
P (X) : | 0.1 | k | 0.2 | 2k | 0.3 | k |
Find the value of k.
Four cards are drawn simultaneously from a well shuffled pack of 52 playing cards. Find the probability distribution of the number of aces.
A bag contains 4 red and 6 black balls. Three balls are drawn at random. Find the probability distribution of the number of red balls.
Two dice are thrown together and the number appearing on them noted. X denotes the sum of the two numbers. Assuming that all the 36 outcomes are equally likely, what is the probability distribution of X?
Two cards are drawn successively with replacement from well shuffled pack of 52 cards. Find the probability distribution of the number of aces.
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
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.
Find the mean and standard deviation of each of the following probability distribution :
xi : | -5 | -4 | 1 | 2 |
pi : | \[\frac{1}{4}\] | \[\frac{1}{8}\] | \[\frac{1}{2}\] | \[\frac{1}{8}\] |
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 : | 1 | 2 | 3 | 4 |
pi : | 0.4 | 0.3 | 0.2 | 0.1 |
A fair die is tossed. Let X denote 1 or 3 according as an odd or an even number appears. Find the probability distribution, mean and variance of X.
In roulette, Figure, the wheel has 13 numbers 0, 1, 2, ...., 12 marked on equally spaced slots. A player sets Rs 10 on a given number. He receives Rs 100 from the organiser of the game if the ball comes to rest in this slot; otherwise he gets nothing. If X denotes the player's net gain/loss, find E (X).
A random variable has the following probability distribution:
X = xi : | 0 | 1 | 2 | 3 | 4 | 5 | 6 | 7 |
P (X = xi) : | 0 | 2 p | 2 p | 3 p | p2 | 2 p2 | 7 p2 | 2 p |
The value of p is
Two fair coins are tossed simultaneously. If X denotes the number of heads, find the probability distribution of X. Also find E(X).
Calculate `"e"_0^circ ,"e"_1^circ , "e"_2^circ` from the following:
Age x | 0 | 1 | 2 |
lx | 1000 | 880 | 876 |
Tx | - | - | 3323 |
Find the premium on a property worth ₹12,50,000 at 3% if the property is fully insured.
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 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).
A die is thrown 4 times. If ‘getting an odd number’ is a success, find the probability of at least 3 successes
A die is thrown 4 times. If ‘getting an odd number’ is a success, find the probability of at most 2 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 = 0
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 (i) X = 0, (ii) X ≤ 1, (iii) X > 1, (iv) X ≥ 1.
For the random variable X, if V(X) = 4, E(X) = 3, then E(x2) is ______
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 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 ______.
For the following probability distribution:
X | – 4 | – 3 | – 2 | – 1 | 0 |
P(X) | 0.1 | 0.2 | 0.3 | 0.2 | 0.2 |
E(X) is equal to ______.
For the following probability distribution:
X | 1 | 2 | 3 | 4 |
P(X) | `1/10` | `3/10` | `3/10` | `2/5` |
E(X2) is equal to ______.
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 ______.
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:
- k
- P(X < 3)
- 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 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.