7. As shown in the table below, which formula satisfies the probability distribution? Y 4 Probability P(Y) 1/3 1/2 3/4 a. P(Y) 1/Y b. P(Y)-Y/12 c. P(Y)-Y/9 d. P(Y)-9/Y

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Chapter1: Combinatorial Analysis
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7. As shown in the table below, which formula satisfies the probability distribution?
Y
4
6.
9.
Probability P(Y)
1/3
1/2
3/4
a. P(Y) = 1/Y
b. P(Y)-Y/12
c. P(Y)-Y/9
d. P(Y)-9/Y
8. It consists of the values a random variable can assume and the corresponding probabilities of the
values.
c. discrete random variable
d. discrete probability
a. random variable
b. continuous random variable distribution
9. Which of the following statements is NOT true?
a. The value of a random variable can also be zero.
b. Random variables can be a discrete or continuous random variables.
c. The sum of the probabilities of all values of the random variable must be equal to 1.
d. The probability of each value of a random variable must be between 0 to 1.
10. Given the table, which of the following satisfies P(1 s X s4 )?
Number of
House (C)
Probability
P(C)
0.25
a. P(1 s X s 4) 0.15
b. P(1 s X s 4) = 0.45
c. P(1 s X s 4) = 0.35
d. P(1 s X s 4) = 0.65
1
0.05
0.35
0.10
0.15
0.10
O-2345
Transcribed Image Text:7. As shown in the table below, which formula satisfies the probability distribution? Y 4 6. 9. Probability P(Y) 1/3 1/2 3/4 a. P(Y) = 1/Y b. P(Y)-Y/12 c. P(Y)-Y/9 d. P(Y)-9/Y 8. It consists of the values a random variable can assume and the corresponding probabilities of the values. c. discrete random variable d. discrete probability a. random variable b. continuous random variable distribution 9. Which of the following statements is NOT true? a. The value of a random variable can also be zero. b. Random variables can be a discrete or continuous random variables. c. The sum of the probabilities of all values of the random variable must be equal to 1. d. The probability of each value of a random variable must be between 0 to 1. 10. Given the table, which of the following satisfies P(1 s X s4 )? Number of House (C) Probability P(C) 0.25 a. P(1 s X s 4) 0.15 b. P(1 s X s 4) = 0.45 c. P(1 s X s 4) = 0.35 d. P(1 s X s 4) = 0.65 1 0.05 0.35 0.10 0.15 0.10 O-2345
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