Advertisements
Advertisements
Question
Find the probability mass function and cumulative distribution function of a number of girl children in families with 4 children, assuming equal probabilities for boys and girls
Advertisements
Solution
Let X be the random variable denotes the number of girl child among 4 children
X = {0, 1, 2, 3, 4}
| Values of the random variable | 0 | 1 | 2 | 3 | 4 | Total |
| Number of elements in inverse image | 1 | 4 | 6 | 4 | 1 | 16 |
(i) Probability mass function
| x | 0 | 1 | 2 | 3 | 4 | Total |
| f(x) | `1/16` | `4/16` | `6/16` | `4/16` | `1/16` | 1 |

(ii) Cumulative distribution
F(x) = P(X ≤ x)
= `sum_(x_"i" ≤ x) "P"("X" = x_"i")`
P(X < 0) = 0 for `- oo < x < 0`
F(0) = P(X ≤ 0)
= `P(X = 0)
= `1/16`
F(1) = P(X ≤ 1) = P(X = 0) + P(X = 1)`
= `1/16 + 4/16`
= `5/16`
F(2) = P(X ≤ 2)
= P(X = 0) + P(X = 1) + P(X = 2)
= `1/16 + 4/16 + 6/16`
= `11/16`
F(3) = P(X ≤ 3)
= P(X = 0) + P(X = 1) + P(X = 2) + P(X = 3)
= `1/16 + 4/16 + 6/16 + 4/16`
= `15/16`
F(4) = P(X ≤ 4)
= P(X = 0) + P(X = 1) + P(X = 2) + P(X = 3) + P(X = 4)
= `15/16 + 1/16`
= 1
F(x) = `{{:(0",", "For" x < 0),(1/16",", "For" x ≤ 0),(5/16",", "For" x ≤ 1), (11/16",", "For" x ≤ 2),(15/16",", "For" x ≤ 3),(1",", "For" x ≤ 4):}`

APPEARS IN
RELATED QUESTIONS
The following is the p.d.f. of continuous r.v.
f (x) = `x/8`, for 0 < x < 4 and = 0 otherwise.
Find expression for c.d.f. of X
Given the p.d.f. of a continuous r.v. X , f (x) = `x^2/3` ,for –1 < x < 2 and = 0 otherwise
Determine c.d.f. of X hence find
P( x < 1)
Given the p.d.f. of a continuous r.v. X ,
f (x) = `x^2/3` , for –1 < x < 2 and = 0 otherwise
Determine c.d.f. of X hence find P(1 < x < 2)
It is felt that error in measurement of reaction temperature (in celsius) in an experiment is a continuous r.v. with p.d.f.
f(x) = `{(x^3/(64), "for" 0 ≤ x ≤ 4),(0, "otherwise."):}`
Find probability that X is between 1 and 3..
Out of 100 people selected at random, 10 have common cold. If five persons selected at random from the group, then the probability that at most one person will have common cold is ______.
A six sided die is marked ‘1’ on one face, ‘3’ on two of its faces, and ‘5’ on remaining three faces. The die is thrown twice. If X denotes the total score in two throws, find the cumulative distribution function
Suppose a discrete random variable can only take the values 0, 1, and 2. The probability mass function is defined by
`f(x) = {{:((x^2 + 1)/k"," "for" x = 0"," 1"," 2),(0"," "otherwise"):}`
Find P(X ≥ 1)
The cumulative distribution function of a discrete random variable is given by
F(x) = `{{:(0, - oo < x < - 1),(0.15, - 1 ≤ x < 0),(0.35, 0 ≤ x < 1),(0.60, 1 ≤ x < 2),(0.85, 2 ≤ x < 3),(1, 3 ≤ x < oo):}`
Find P(X < 1)
A random variable X has the following probability mass function.
| x | 1 | 2 | 3 | 4 | 5 |
| F(x) | k2 | 2k2 | 3k2 | 2k | 3k |
Find the value of k
A random variable X has the following probability mass function.
| x | 1 | 2 | 3 | 4 | 5 |
| F(x) | k2 | 2k2 | 3k2 | 2k | 3k |
Find P(X > 3)
The cumulative distribution function of a discrete random variable is given by
F(x) = `{{:(0, "for" - oo < x < 0),(1/2, "for" 0 ≤ x < 1),(3/5, "for" 1 ≤ x < 2),(4/5, "for" 2 ≤ x < 4),(9/5, "for" 3 ≤ x < 4),(1, "for" ≤ x < oo):}`
Find P(X < 3)
Choose the correct alternative:
The probability mass function of a random variable is defined as:
| x | – 2 | – 1 | 0 | 1 | 2 |
| f(x) | k | 2k | 3k | 4k | 5k |
Then E(X ) is equal to:
The p.m.f. of a random variable X is
P(x) = `(5 - x)/10`, x = 1, 2, 3, 4
= 0, otherwise
The value of E(X) is ______
A bag contains 6 white and 4 black balls. Two balls are drawn at random. The probability that they are of the same colour is ______.
If A = {x ∈ R : x2 - 5 |x| + 6 = 0}, then n(A) = _____.
The probability distribution of a random variable X is given below. If its mean is 4.2, then the values of a and bar respectively
| X = x | 1 | 2 | 3 | 4 | 5 | 6 |
| P(X = x) | a | a | a | b | b | 0.3 |
Two coins are tossed. Then the probability distribution of number of tails is.
A random variable X has the following probability distribution:
| X = xi | 1 | 2 | 3 | 4 |
| P(X = xi) | 0.2 | 0.15 | 0.3 | 0.35 |
The mean and the variance are respectively ______.
Find the probability of getting the sum as a perfect square number when two dice are thrown together.
