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Exercises 47 and 48 refer to the following setting. Two independent random variables Xand Yhave the probability distributions, means, and standard deviations shown.

47. Sum Let the random variableT=X+Y.
(a) Find all possible values of T. Compute the probability that Ttakes each of these values. Summarize the probability distribution ofT in a table.
(b) Show that the mean of Tis equal toμX+μY.
(c) Confirm that the variance of T is equal to σX2+σY2. Show that σT≠σX+σY.

Short Answer

Expert verified

(a)The probability distribution of Tin a table is:

Value
Probability
3
0.14
4
0.35
5
0.06
6
0.15
7
0.21
9
0.09

(b) The mean of Tis equal to μX+μY.

(c) Concluded that σT≠σX+σY.

Step by step solution

01

Part (a) Step 1: Given information 

The random variable is T=X+Y. All possible values of T. And also compute the probability that Ttakes each of the values for the probability distribution.

02

Part (a) Step 2: Explanation 

The possible values ofT are:
1+2=31+4=52+2=42+4=6

Similarly,

5+2=75+4=9

The probabilities as:

P(T=3)=P(X=1)×P(Y=2)=0.2(0.7)=0.14

P(T=4)=P(X=2)×P(Y=2)=0.5(0.7)=0.35

P(T=5)=P(X=1)×P(Y=4)=0.2(0.3)=0.06

P(T=6)=P(X=2)×P(Y=4)=0.5(0.3)=0.15

Also,

P(T=7)=P(X=5)×P(Y=2)=0.3(0.7)=0.21

P(T=9)=P(X=5)×P(Y=4)=0.3(0.3)=0.09

03

Part (b) Step 1: Given information 

Two independent random variables Xand Yhave the probability distributions, means, and standard deviations. The mean of Tis equal to μX+μY.

04

Part (b) Step 2: Explanation 

The mean ofT be determined as:
μT=∑x×P(x)=3(0.14)+4(0.35)+5(0.06)+6(0.15)+7(0.21)+9(0.09)=5.3

Then,

μX+μY=2.7+2.6=5.3

05

Part (c) Step 1: Given information

The variance of Tis equal to σX2+σY2. And also show that σT≠σX+σY.

06

Part (c) Step 2: Explanation

To determine the variance ofT as:
σT=∑x2×P(x)−∑x×P(x)2=32×0.14+42×0.35+……...+92×0.09−(5.3)2=3.25

Then,

σX2+σY2=1.552+0.9172=3.2433

It could be shown as:

σT=σX+σY=1.55+0.917=2.467

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