Advertisements
Advertisements
Question
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?
Solution
Let X denote the sum of the numbers on two die. Then, X can take the values 2, 3, 4, 5, 6, 7, 8, 9, 10, 11 and 12.
Sample space : {(1, 1), (1, 2), (1, 3), (1, 4), (1, 5), (1, 6)
(2, 1), (2, 2), (2, 3), (2, 4), (2, 5), (2, 6)
(3, 1), (3, 2), (3 ,3), (3, 4), (3, 5), (3, 6)
(4, 1), (4, 2), (4 ,3), (4, 4), (4, 5), (4, 6)
(5, 1), (5, 2), (5 ,3), (5, 4), (5, 5), (5, 6)
(6, 1), (6, 2), (6 ,3), (6, 4), (6, 5), (6, 6)}
Now
\[P\left( X = 2 \right) = \frac{1}{36}\]
\[P\left( X = 3 \right) = \frac{2}{36}\]
\[P\left( X = 4 \right) = \frac{3}{36}\]
\[P\left( X = 5 \right) = \frac{4}{36}\]
\[P\left( X = 6 \right) = \frac{5}{36}\]
\[P\left( X = 7 \right) = \frac{6}{36}\]
\[P\left( X = 8 \right) = \frac{5}{36}\]
\[P\left( X = 9 \right) = \frac{4}{36}\]
\[P\left( X = 10 \right) = \frac{3}{36}\]
\[P\left( X = 11 \right) = \frac{2}{36}\]
\[P\left( X = 12 \right) = \frac{1}{36}\]
Thus, the probability distribution of X is given by
X | P(X) |
2 |
\[\frac{1}{36}\]
|
3 |
\[\frac{2}{36}\]
|
4 |
\[\frac{3}{36}\]
|
5 |
\[\frac{4}{36}\]
|
6 |
\[\frac{5}{36}\]
|
7 |
\[\frac{6}{36}\]
|
8 |
\[\frac{5}{36}\]
|
9 |
\[\frac{4}{36}\]
|
10 |
\[\frac{3}{36}\]
|
11 |
\[\frac{2}{36}\]
|
12 |
\[\frac{1}{36}\]
|
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.
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?
State the following are not the probability distributions of a random variable. Give reasons for your answer.
Y | -1 | 0 | 1 |
P(Y) | 0.6 | 0.1 | 0.2 |
Find the probability distribution of number of heads in four tosses of a coin.
A random variable X ~ N (0, 1). Find P(X > 0) and P(X < 0).
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.
Four cards are drawn simultaneously from a well shuffled pack of 52 playing cards. Find the probability distribution of the number of aces.
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 .
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.
Find the mean and standard deviation of each of the following probability distribution:
xi : | 1 | 3 | 4 | 5 |
pi: | 0.4 | 0.1 | 0.2 | 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 |
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 die is tossed twice. A 'success' is getting an odd number on a toss. Find the variance of the number of successes.
A box contains 13 bulbs, out of which 5 are defective. 3 bulbs are randomly drawn, one by one without replacement, from the box. Find the probability distribution of the number of defective bulbs.
Find the mean of the following probability distribution:
X= xi: | 1 | 2 | 3 |
P(X= xi) : |
\[\frac{1}{4}\]
|
\[\frac{1}{8}\]
|
\[\frac{5}{8}\]
|
Mark the correct alternative in the following question:
For the following probability distribution:
X: | −4 | −3 | −2 | −1 | 0 |
P(X): | 0.1 | 0.2 | 0.3 | 0.2 | 0.2 |
The value of E(X) is
Mark the correct alternative in the following question:
For the following probability distribution:
X : | 1 | 2 | 3 | 4 |
P(X) : |
\[\frac{1}{10}\]
|
\[\frac{1}{5}\]
|
\[\frac{3}{10}\]
|
\[\frac{2}{5}\]
|
The value of E(X2) is
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)
Find the premium on a property worth ₹12,50,000 at 3% if the property is fully insured.
Verify whether the following function can be regarded as probability mass function (p.m.f.) for the given values of X :
X | -1 | 0 | 1 |
P(X = x) | -0.2 | 1 | 0.2 |
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.
An urn contains 5 red and 2 black balls. Two balls are drawn at random. X denotes number of black balls drawn. What are possible values of X?
The p.d.f. of a continuous r.v. X is given by
f (x) = `1/ (2a)` , for 0 < x < 2a and = 0, otherwise. Show that `P [X < a/ 2] = P [X >( 3a)/ 2]` .
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 |
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.
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 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 :
A computer installation has 3 terminals. The probability that any one terminal requires attention during a week is 0.1, independent of other terminals. Find the probabilities that 1 terminal requires attention during a week.
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
Four balls are to be drawn without replacement from a box containing 8 red and 4 white balls. If X denotes the number of red ball drawn, find the probability distribution of X.
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 |
Calculate `"V"("X"/2)`
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.
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).
Find the probability distribution of the maximum of the two scores obtained when a die is thrown twice. Determine also the mean of the distribution.
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
The probability distribution of a discrete random variable X is given as under:
X | 1 | 2 | 4 | 2A | 3A | 5A |
P(X) | `1/2` | `1/5` | `3/25` | `1/10` | `1/25` | `1/25` |
Calculate: The value of A if E(X) = 2.94
The probability distribution of a discrete random variable X is given as under:
X | 1 | 2 | 4 | 2A | 3A | 5A |
P(X) | `1/2` | `1/5` | `3/25` | `1/10` | `1/25` | `1/25` |
Calculate: Variance 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)