Chapter 5: Q.93 (page 356)
What is the median lifetime of these phones (in years)?
a.
b.
c.
d.
Short Answer
The correct answer is option (c).
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Chapter 5: Q.93 (page 356)
What is the median lifetime of these phones (in years)?
a.
b.
c.
d.
The correct answer is option (c).
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What is the area under f(x) if the function is a continuous probability density function?
Suppose that the longevity of a light bulb is exponential with a mean lifetime of eight years.
a. Find the probability that a light bulb lasts less than one year.
b. Find the probability that a light bulb lasts between six and ten years.
c. Seventy percent of all light bulbs last at least how long?
d. A company decides to offer a warranty to give refunds to light bulbs whose lifetime is among the lowest two percent of all bulbs. To the nearest month, what should be the cutoff lifetime for the warranty to take place?
e. If a light bulb has lasted seven years, what is the probability that it falls within the year.
98. During the years 1998-2012, a total of 29 earthquakes of magnitude greater than 6.5 have occurred in Papua New Guinea. Assume that the time spent waiting between earthquakes is exponential.
a. What is the probability that the next earthquake occurs within the next three months?
b. Given that six months have passed without an earthquake in Papua New Guinea, what is the probability that the next three months will be free of earthquakes ?
c. What is the probability of zero earthquakes occurring in 2014?
d. What is the probability that at least two earthquakes will occur in 2014 ?
What is the probability that a phone will fail within two years of the date of purchase?
a.
b.
c.
d.
According to the American Red Cross, about one out of nine people in the U.S. have Type B blood. Suppose the blood types of people arriving at a blood drive are independent. In this case, the number of Type B blood types that arrive roughly follows the Poisson distribution.
a. If people arrive, how many on average would be expected to have Type B blood?
b. What is the probability that over people out of these 100 have type B blood?
c. What is the probability that more than people arrive before a person with type B blood is found?
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