d. Compute the probability that X is greater than or equal to 1.5. e. Compute the probability that X is between 0.5 and 1.5. f. Compute the probability that X is exactly 0.5. g. Compute the expected value of the random variable X. h. Compute the variance of the random variable X. i. Find E[3X+4]. j. Find E[X2]. k. Find Var[-3X].

A First Course in Probability (10th Edition)
10th Edition
ISBN:9780134753119
Author:Sheldon Ross
Publisher:Sheldon Ross
Chapter1: Combinatorial Analysis
Section: Chapter Questions
Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...
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Answer only parts D through k
f(x) =
11--²
0
x<0
0<x< 1
2 1<x<2
x ≥ 2
Transcribed Image Text:f(x) = 11--² 0 x<0 0<x< 1 2 1<x<2 x ≥ 2
Please answer the whole question quickly and
correctly
The probability density function (pdf) of a
continuous random variable X is given as follows:
a. Verify that the function given is a valid probability
density function.
b. Determine the cumulative density function (cdf)
of the random variable X.
c. Compute the probability that X is less than or
equal to 0.5.
d. Compute the probability that X is greater than or
equal to 1.5.
e. Compute the probability that X is between 0.5 and
1.5.
f. Compute the probability that X is exactly 0.5.
g. Compute the expected value of the random
variable X.
h. Compute the variance of the random variable X.
i. Find E[3X+4].
j. Find E[X2].
k. Find Var[-3X].
Transcribed Image Text:Please answer the whole question quickly and correctly The probability density function (pdf) of a continuous random variable X is given as follows: a. Verify that the function given is a valid probability density function. b. Determine the cumulative density function (cdf) of the random variable X. c. Compute the probability that X is less than or equal to 0.5. d. Compute the probability that X is greater than or equal to 1.5. e. Compute the probability that X is between 0.5 and 1.5. f. Compute the probability that X is exactly 0.5. g. Compute the expected value of the random variable X. h. Compute the variance of the random variable X. i. Find E[3X+4]. j. Find E[X2]. k. Find Var[-3X].
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