13. Suppose that a certain examination is to be taken by five students independently of one another, and the num- ber of minutes required by any particular student to com- plete the examination has the exponential distribution for which the mean is 80. Suppose that the examination be- gins at 9:00 AM. Determine the probability that at least one of the students will complete the examination before 9:40 A.M.

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IS SUUI AS CIre u ue compsremS TaIs. Suppuse sU uKIT
the length of life of each component, measured in hours,
has the exponential distribution with mean e. Determine
the mean and the variance of the length of time until the
system fails.
4. Determine the mode of the gamma distribution with
parameters a and B.
5. Sketch the p.d.f of the exponential distribution for each
of the following values of the parameter 6: (a) B = 1/2, (b)
A = 1, and (c) 8 = 2.
6. Suppose that X1...., X, form a random sample of
size n from the exponential distribution with parameter
B. Determine the distribution of the sample mean X-
7. Let Xj. X, X be a random sample from the exponen-
tial distribution with parameter 8. Find the probability
that at least one of the random variables is greater than
1, where r>0.
11. Suppose that n items are being tested simultaneously,
the items are independent, and the length of life of each
item has the exponential distribution with parameter B.
Determine the expected length of time until three items
have failed. Hint: The required value is E(Y +Y2+ Y3) in
the notation of Theorem 5.7.11.
12. Consider again the electronic system described in Ex-
ercise 10, but suppose now that the system will continue
to operate until two components have failed. Determine
the mean and the variance of the length of time until the
8. Suppose that the random variables X1..... Xg are in-
dependent and X, has the exponential distribution with
parameter A, (i =1, ..., k). Let Y = min( X. .... X).
Show that Y has the exponential distribution with param-
eter f++ A.
system fails.
9. Suppose that a certain system contains three compo-
nents that function independently of each other and are
connected in series, as defined in Exercise 5 of Sec. 3.7,
so that the system fails as soon as one of the components
fails. Suppose that the length of life of the first compo-
13. Suppose that a certain examination is to be taken by
five students independently of one another, and the num-
ber of minutes required by any particular student to com-
plete the examination has the exponential distribution for
which the mean is 80. Suppose that the examination be-
gins at 9:00 A.M. Determine the probability that at least
one of the students will complete the examination before
9:40 AM.
Transcribed Image Text:IS SUUI AS CIre u ue compsremS TaIs. Suppuse sU uKIT the length of life of each component, measured in hours, has the exponential distribution with mean e. Determine the mean and the variance of the length of time until the system fails. 4. Determine the mode of the gamma distribution with parameters a and B. 5. Sketch the p.d.f of the exponential distribution for each of the following values of the parameter 6: (a) B = 1/2, (b) A = 1, and (c) 8 = 2. 6. Suppose that X1...., X, form a random sample of size n from the exponential distribution with parameter B. Determine the distribution of the sample mean X- 7. Let Xj. X, X be a random sample from the exponen- tial distribution with parameter 8. Find the probability that at least one of the random variables is greater than 1, where r>0. 11. Suppose that n items are being tested simultaneously, the items are independent, and the length of life of each item has the exponential distribution with parameter B. Determine the expected length of time until three items have failed. Hint: The required value is E(Y +Y2+ Y3) in the notation of Theorem 5.7.11. 12. Consider again the electronic system described in Ex- ercise 10, but suppose now that the system will continue to operate until two components have failed. Determine the mean and the variance of the length of time until the 8. Suppose that the random variables X1..... Xg are in- dependent and X, has the exponential distribution with parameter A, (i =1, ..., k). Let Y = min( X. .... X). Show that Y has the exponential distribution with param- eter f++ A. system fails. 9. Suppose that a certain system contains three compo- nents that function independently of each other and are connected in series, as defined in Exercise 5 of Sec. 3.7, so that the system fails as soon as one of the components fails. Suppose that the length of life of the first compo- 13. Suppose that a certain examination is to be taken by five students independently of one another, and the num- ber of minutes required by any particular student to com- plete the examination has the exponential distribution for which the mean is 80. Suppose that the examination be- gins at 9:00 A.M. Determine the probability that at least one of the students will complete the examination before 9:40 AM.
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