150 INTRODUCTION TO PROBABILITY AND STATISTICS reasonable to assume that these chips exhibit a constant hazard rate. Let (a) In a practical sense, what are the main causes of failure of these chips hazard rate be given by p(t) = .02. (Time is in years.). (b) What is the reliability function for chips of this type? (c) What is the reliability of a chip 20 years after it has been put into use! (d) What is the failure density for these chips? (e) What type of random variable is X, the time to failure of a chip? (f) What is the mean and variance for X? (g) What is the probability that a chip will be operable for at least 30. 60. The random variable X, the time to failure (in thousands of miles driven a the signal lights on an automobile has a Weibull distribution with a = B = 2. (a) Find the density, mean, and variance for X. (b) Find the reliability function for X. (c) What is the reliability of these lights at 5000 miles? At 10,000 miles! %3D (d) What is the hazard rate function? (e) What is the hazard rate at 5000 miles? At 10,000 miles? (f) What is the probability that the lights will fail during the first 3000min driven? 61. Show that for a > 0 and B > 0, aßxB-le-ax dx= 1 %3D thereby showing that the nonnegative function given in Definition 4.7.1 density for a continuous random variable. Hint: Let z = ax". %3D 62. Let X be a Weibull random variable with parameters a and ß. Show th E[X²] = a¯2ßT°(1 + 2/B). Hint: In evaluating briw Iss |x?aBxB-le-ax® dr 0. B let z = æx³. Evaluate the integral in a manner similar to that used in the pr 63. Use the result of Exercise 62 to find Var X for a Weibull random variable m parameters a and ß, thus completing the proof of Theorem 4.7.1.

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150 INTRODUCTION TO PROBABILITY AND STATISTICS
reasonable to assume that these chips exhibit a constant hazard rate. Let
(a) In a practical sense, what are the main causes of failure of these chips
hazard rate be given by p(t) = .02. (Time is in years.).
(b) What is the reliability function for chips of this type?
(c) What is the reliability of a chip 20 years after it has been put into use!
(d) What is the failure density for these chips?
(e) What type of random variable is X, the time to failure of a chip?
(f) What is the mean and variance for X?
(g) What is the probability that a chip will be operable for at least 30.
60. The random variable X, the time to failure (in thousands of miles driven a
the signal lights on an automobile has a Weibull distribution with a =
B = 2.
(a) Find the density, mean, and variance for X.
(b) Find the reliability function for X.
(c) What is the reliability of these lights at 5000 miles? At 10,000 miles!
%3D
(d) What is the hazard rate function?
(e) What is the hazard rate at 5000 miles? At 10,000 miles?
(f) What is the probability that the lights will fail during the first 3000min
driven?
61. Show that for a > 0 and B > 0,
aßxB-le-ax dx= 1
%3D
thereby showing that the nonnegative function given in Definition 4.7.1
density for a continuous random variable. Hint: Let z = ax".
%3D
62. Let X be a Weibull random variable with parameters a and ß. Show th
E[X²] = a¯2ßT°(1 + 2/B). Hint: In evaluating
briw Iss
|x?aBxB-le-ax® dr
0.
B let z = æx³. Evaluate the integral in a manner similar to that used in the pr
63. Use the result of Exercise 62 to find Var X for a Weibull random variable m
parameters a and ß, thus completing the proof of Theorem 4.7.1.
Transcribed Image Text:150 INTRODUCTION TO PROBABILITY AND STATISTICS reasonable to assume that these chips exhibit a constant hazard rate. Let (a) In a practical sense, what are the main causes of failure of these chips hazard rate be given by p(t) = .02. (Time is in years.). (b) What is the reliability function for chips of this type? (c) What is the reliability of a chip 20 years after it has been put into use! (d) What is the failure density for these chips? (e) What type of random variable is X, the time to failure of a chip? (f) What is the mean and variance for X? (g) What is the probability that a chip will be operable for at least 30. 60. The random variable X, the time to failure (in thousands of miles driven a the signal lights on an automobile has a Weibull distribution with a = B = 2. (a) Find the density, mean, and variance for X. (b) Find the reliability function for X. (c) What is the reliability of these lights at 5000 miles? At 10,000 miles! %3D (d) What is the hazard rate function? (e) What is the hazard rate at 5000 miles? At 10,000 miles? (f) What is the probability that the lights will fail during the first 3000min driven? 61. Show that for a > 0 and B > 0, aßxB-le-ax dx= 1 %3D thereby showing that the nonnegative function given in Definition 4.7.1 density for a continuous random variable. Hint: Let z = ax". %3D 62. Let X be a Weibull random variable with parameters a and ß. Show th E[X²] = a¯2ßT°(1 + 2/B). Hint: In evaluating briw Iss |x?aBxB-le-ax® dr 0. B let z = æx³. Evaluate the integral in a manner similar to that used in the pr 63. Use the result of Exercise 62 to find Var X for a Weibull random variable m parameters a and ß, thus completing the proof of Theorem 4.7.1.
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