calculate
PART A: The manager of a computer retails store is concerned
that his suppliers have been giving him laptop computers with lower
than average quality. His research shows that replacement times for
the model laptop of concern are normally distributed with a mean of
3.7 years and a standard deviation of 0.5 years. He then randomly
selects records on 44 laptops sold in the past and finds that the
mean replacement time is 3.6 years.
Assuming that the laptop replacement times have a mean of 3.7 years
and a standard deviation of 0.5 years, find the probability that 44
randomly selected laptops will have a mean replacement time of 3.6
years or less.
P(M < 3.6 years) =
Enter your answer as a number accurate to 4 decimal places. NOTE:
Answers obtained using exact z-scores or z-scores
rounded to 3 decimal places are accepted.
A company produces steel rods. The lengths of the steel rods are
normally distributed with a mean of 256.8-cm and a standard
deviation of 0.8-cm. For shipment, 15 steel rods are bundled
together.
Find the probability that the average length of a randomly selected
bundle of steel rods is between 256.2-cm and 257-cm.
P(256.2-cm < M < 257-cm) =
Enter your answer as a number accurate to 4 decimal places. Answers
obtained using exact z-scores or z-scores rounded
to 3 decimal places are accepted.
PART C: A manufacturer knows that their items have a normally
distributed lifespan, with a mean of 6.4 years, and standard
deviation of 0.5 years.
If 24 items are picked at random, 8% of the time their mean life
will be less than how many years?
Give your answer to one decimal place.
PART B:
Solution:-
Part A) The probability that 44 randomly selected laptops will have a mean replacement time of 3.6 years or less is 0.0923.
Mean = 3.7, S.D = 0.50, n = 44
x = 3.6
By applying normal distribution:-
z = -1.327
P(z < - 1.327) = 0.0923
The probability that the average length of a randomly selected bundle of steel rods is between 256.2-cm and 257-cm is 0.8317
Mean = 256.8, S.D = 0.80, n = 15
x1 = 256.2
x2 = 257
By applying normal distribution:-
z1 = - 2.905
z2 = 0.968
P( -2.905 < z < 0.968) = P(z > -2.905) - P(z > 0.968)
P( -2.905 < z < 0.968) = 0.9982 - 0.1665
P( -2.905 < z < 0.968) = 0.8317
The probability that the average length of a randomly selected bundle of steel rods is between 256.2-cm and 257-cm is 0.8317
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