Random Variables and its Probability Distributions

IMPORTANT

Random Variables and its Probability Distributions: Overview

In this topic, we will learn to find the probability distribution of a random variable with the mean and variance of a random variable through many illustrative examples.

Important Questions on Random Variables and its Probability Distributions

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IMPORTANT

Suppose an instant lottery ticket is purchased for $2. The possible prizes are $0, $2, $20, $200 and $1000. Let Z be the random variable representing the amount won on the ticket, and suppose Z has the following distribution.

z 0 2 20 200 1000
PZ=z   0.2 0.05 0.001 0.0001

Determine E(Z) and interpret its meaning.

EASY
IMPORTANT

The discrete random variable X has the following probability distribution.

x 0 0.5 1 1.5 2
PX=x k2 k k2 2k2 k2

Determine the exact value of the mean of the distribution.

HARD
IMPORTANT

The discrete random variable k has probability distribution function given by P(K=k)=β(3-k)2 for k=0, 1, 2, 3, 4. Find the value of β + E(k).

HARD
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Ten thousand US$10 lottery tickets are sold. One ticket wins a prize of US$5000, five tickets each win US$1000 , and ten tickets each win US$200. The price of ticket to make the lottery a fair game.

MEDIUM
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Ten thousand US$10 lottery tickets are sold. One ticket wins a prize of US$5000, five tickets each win US$1000 , and ten tickets each win US$200. Find the expected gain from one ticket.

MEDIUM
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Alexandre is designing a game. A spinning arrow rotates and stops on one of the regions A, B, C or D as shown in the diagram.

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Alexandre proposes the prizes shown in the table and that the game should cost US$5 to play.

Letter A B C D
Prize US$3 US$7 US$5 US$2

Determine whether Alexandre's game is fair and justify your answer.

HARD
IMPORTANT

A handbag contains five coins and four keys and eight mints. Two items are taken out of the handbag one after the other and not replaced. Find the expected number of mints taken out of the handbag.

(Write answer in simplest fraction form)

MEDIUM
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A handbag contains seven coins and three keys. Two items are taken out of the handbag one after the other and not replaced. Find the expected number of keys taken out of the handbag.

(Write answer in simplest fraction form)

MEDIUM
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Sarah researches multiple births in a clinic, where she keeps records over a period of years of the genders of triplets born there. There are eight possible sequences of genders in a set of triplets, for example MFM.

Assuming PMale=PFemale=0.5, construct the probability distribution table of the random variable M=the number of males born in a set of triplets.

Find the expected number of male births in a set of triplets. Interpret your result.

MEDIUM
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A probability distribution of random variable X is given by

X -2 3 1
P(X) 13 12 16

Then the value of E(4x+3) is

MEDIUM
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A player tosses two coins if two heads appears he wins Rs. 4, if one head appears he wins Rs. 2, but if two tails appears he loses Rs. 3. Find the expected sum of money he wins?

EASY
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The p.d.f. of a continuous random variable X is given by f(x)=x2,0<x<20, elsewhere . Then its mean is 

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If the probability density function of a continuous random variable X is given by fx=k(1-x2)40<x<10elsewhere, then we get E(X=x)=3k. Find the value of k.

EASY
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A random variable X has the following probability distribution.

X 0 1 2 3 4 5
P(X) 14 2a 3a 4a 5a 14

Then, P(1X4) is

EASY
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If a continuous random variable X has probability density function given by f(x)={12Ax5,0<x<10,otherwise then the value of A is 

EASY
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If Var(X)=2 then E(Var(4X+3))=E(32).

EASY
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If the variance of a random variable X is 8 and its mean is 2 then the expectation of X2 is 

MEDIUM
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In an entrance examination student has answered all the 120 questions. Each question has 4 options and only one option is correct. A student gets one mark for correct answer and looses 12 marks for wrong answer. What is the expectation of a mark scored by a student if he chooses the answer to each question at random?

MEDIUM
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The following is a probability density function, f(x)=5x4 for 0<x<1.

MEDIUM
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A probability distribution of random variable X is given by

X -2 3 1
P(X) 13 12 16

Find E(2x+5).