3.2. The probability mass function of the random variable X is given as follows. X -3 6 9 p(x) = Pr(X=x) 1/6 1/2 1/3 a) Compute the values of E(X) and E(X²). b) Compute the value of E{(2x+1)²} by using the theorems related to the expected value. 3.3. The probability mass function of the discrete random variable X is given as follows. -2 1 2 4 p(x) = Pr(X=x) 1/4 1/8 1/2 1/8 Plot the cumulative distribution function, Fx(x) of the random variable, X.

Trigonometry (MindTap Course List)
10th Edition
ISBN:9781337278461
Author:Ron Larson
Publisher:Ron Larson
Chapter6: Topics In Analytic Geometry
Section6.4: Hyperbolas
Problem 5ECP: Repeat Example 5 when microphone A receives the sound 4 seconds before microphone B.
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3.2. The probability mass function of the random variable X is given as follows.
X
-3
6
9
p(x) = Pr(X=x)
1/6
1/2
1/3
a) Compute the values of E(X) and E(X²).
b) Compute the value of E{(2x+1)²} by using the theorems related to the expected value.
3.3. The probability mass function of the discrete random variable X is given as follows.
-2
1
2
4
p(x) = Pr(X=x)
1/4
1/8
1/2
1/8
Plot the cumulative distribution function, Fx(x) of the random variable, X.
Transcribed Image Text:3.2. The probability mass function of the random variable X is given as follows. X -3 6 9 p(x) = Pr(X=x) 1/6 1/2 1/3 a) Compute the values of E(X) and E(X²). b) Compute the value of E{(2x+1)²} by using the theorems related to the expected value. 3.3. The probability mass function of the discrete random variable X is given as follows. -2 1 2 4 p(x) = Pr(X=x) 1/4 1/8 1/2 1/8 Plot the cumulative distribution function, Fx(x) of the random variable, X.
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