Consider you go to a COVID vaccination centre to get yourself vaccinated. Let the random variable X denotes the time that you have to wait in the queue until it is your turn for vaccination. The probability that there is no queue and you are vaccinated immediately as soon as you reach the centre is 1/4. The probability that there is queue and you have to waitfor some time is 3/4 and random variable X can be modelled as an exponential random variable with parameter (λ =1/3). Find the CDF of the random variable X. Pictorially represent CDF of random variable X. What do you infer from the CDF plot? Find P(0 < X ≤ 1) and P(0 ≤ X ≤ 1)

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Consider you go to a COVID vaccination centre to get yourself vaccinated. Let the random variable X denotes the time that you have to wait in the queue until it is your turn for vaccination. The probability that there is no queue and you are vaccinated immediately as soon as you reach the centre is 1/4. The probability that there is queue and you have to waitfor some time is 3/4 and random variable X can be modelled as an exponential random variable with parameter (λ =1/3).

  • Find the CDF of the random variable X.
  • Pictorially represent CDF of random variable X. What do you infer from the CDF plot?
  • Find P(0 < X ≤ 1) and P(0 ≤ X ≤ 1)

 

(Note: The CDF of an exponential distribution is given by P(X≤x) = 1-?^-x/? )

 

Q1) Consider you go to a COVID vaccination centre to get yourself vaccinated. Let the random
variable X denotes the time that you have to wait in the queue until it is your turn for
vaccination. The probability that there is no queue and you are vaccinated immediately as soon
as you reach the centre is 1/4. The probability that there is gueue and you have to wait for some
time is 3/4 and random variable X can be modelled as an exponential random variable with
parameter (A = 1/3).
Find the CDF of the random variable X.
(i)
(ii)
Pictorially represent CDF of random variable X. What do you infer from the CDF
plot?
Find P(0 < X < 1) and P(0 < X < 1)
(iii)
-x
(Note: The CDF of an exponential distribution is given by P(X<x) = 1-e 1)
Transcribed Image Text:Q1) Consider you go to a COVID vaccination centre to get yourself vaccinated. Let the random variable X denotes the time that you have to wait in the queue until it is your turn for vaccination. The probability that there is no queue and you are vaccinated immediately as soon as you reach the centre is 1/4. The probability that there is gueue and you have to wait for some time is 3/4 and random variable X can be modelled as an exponential random variable with parameter (A = 1/3). Find the CDF of the random variable X. (i) (ii) Pictorially represent CDF of random variable X. What do you infer from the CDF plot? Find P(0 < X < 1) and P(0 < X < 1) (iii) -x (Note: The CDF of an exponential distribution is given by P(X<x) = 1-e 1)
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