Consider the random variable X that represents the number of people who are hospitalized or died in a single head-on collision on the road in front of a particular spot in a year. The distribution of such random variables is typically obtained from historical data. Without getting into the statistical aspects involved, let us suppose that the CDF of X is as follows: 1 2 3. 4 7 8 9. 10 F(x) 0.250 0.546 0.898 0.932 0.955 0.972 0.981 0.989 0.995 0.998 1.000 Find P(X = 10) and P(X < 5/X > 2). %3D

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Consider the random variable X that represents the number of people
who are hospitalized or died in a single head-on collision on the road in front of
a particular spot in a year. The distribution of such random variables is typically
obtained from historical data. Without getting into the statistical aspects involved,
let us suppose that the CDF of X is as follows:
3
F(x) 0.250 0.546 0.898 0,932 0.955 0.972 0.981 0.989| 0.995 0,998| 1.000
4.
6.
8
9.
10
Find P(X = 10) and P(X < 5/X > 2).
Transcribed Image Text:Consider the random variable X that represents the number of people who are hospitalized or died in a single head-on collision on the road in front of a particular spot in a year. The distribution of such random variables is typically obtained from historical data. Without getting into the statistical aspects involved, let us suppose that the CDF of X is as follows: 3 F(x) 0.250 0.546 0.898 0,932 0.955 0.972 0.981 0.989| 0.995 0,998| 1.000 4. 6. 8 9. 10 Find P(X = 10) and P(X < 5/X > 2).
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