Advertisements
Advertisements
Question
A person tosses a coin and is to receive ₹ 4 for a head and is to pay ₹ 2 for a tail. Find the expectation and variance of his gains
Advertisements
Solution
Let X denote the amount the person receives in a game
Then X takes values 4, – 2 and
So P(X = 4) = P ......(of getting a head)
= `1/2`
P(X = – 2) = P (of getting a tail)
= `1/2`
Hence the Probability distribution is
| X | 4 | – 2 |
| P(X = x) | `1/2` | `1/2` |
E(X) = `sumx"P"_x (x)`
= `(4 xx 1/2) + (-2 x 1/2)`
= `2 + (- 1)`
E(X) = 1
E(x2) = `sum_x x^2"P"_x (x)`
= `[(4)^2 xx 1/2] + [(-2)^2 xx 1/2]`
= `[16 xx 1/2] + [4 xx 1/2]`
= 8 + 2
= 10
E(x2) = 10
Var(x) = E(x2) – E(x2)
= 10 – (1)2
Var(x) = 9
∴ His expected gain = ₹ 1
His variance of gain = ₹ 9
APPEARS IN
RELATED QUESTIONS
A commuter train arrives punctually at a station every half hour. Each morning, a student leaves his house to the train station. Let X denote the amount of time, in minutes, that the student waits for the train from the time he reaches the train station. It is known that the pdf of X is
`f(x) = {{:(1/30, 0 < x < 30),(0, "elsewhere"):}`
Obtain and interpret the expected value of the random variable X
The time to failure in thousands of hours of an electronic equipment used in a manufactured computer has the density function
`f(x) = {{:(3"e"^(-3x), x > 0),(0, "eleswhere"):}`
Find the expected life of this electronic equipment
The following table is describing about the probability mass function of the random variable X
| x | 3 | 4 | 5 |
| P(x) | 0.2 | 0.3 | 0.5 |
Find the standard deviation of x.
Let X be a random variable and Y = 2X + 1. What is the variance of Y if variance of X is 5?
Choose the correct alternative:
Demand of products per day for three days are 21, 19, 22 units and their respective probabilities are 0.29, 0.40, 0.35. Profit per unit is 0.50 paisa then expected profits for three days are
Choose the correct alternative:
E[X – E(X)] is equal to
Choose the correct alternative:
If p(x) = `1/10`, x = 10, then E(X) is
Choose the correct alternative:
An expected value of a random variable is equal to it’s
Choose the correct alternative:
A discrete probability function p(x) is always non-negative and always lies between
Prove that V(X + b) = V(X)
