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MATH 533 FINAL EXAM 3

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MATH 533 FINAL EXAM 3Answer The length of time to do a cable installation by Multi-Cable Inc. is normally distributed with a mean of 42.8 minutes and a standard deviation of 6.2 minutes. What percentage of installations take less than 30 minutes? x = The length of time to do a cable installation  = 42.8  = 6.20 P(x 30) = P(z -2.06) = 0.5 - 0.4803 = 0.0197 or 1.97% Answer Accident claims are checked for completeness by branch offices of Fortune Insurance before they are sent to a regional office for payment. Historically 80% of the claims are complete when they reach the regional office. You select a random sample of 20 claims that have arrived at the regional office. Find the probability that: X = Number of completed forms in sample n = 20 p = 0.80 a. At least 16 claims are complete, P(X  16) = P(X = 16) + … + P(X = 20) = 0.6296 b. All 20 are complete, P(X = 20) = 0.0115 c. Fewer than 12 are complete, P(X 12) = P(X  11) = P(X = 0) + … + P(X = 11) = 0.0100 d. Exactly 12 are complete. P(X = 12) = 0.0222

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MATH 533 FINAL EXAM 3
Answer The length of time to do a cable installation by
Multi-Cable Inc. is normally distributed with a mean of 42.8
minutes and a standard deviation of 6.2 minutes. What
percentage of installations take less than 30 minutes?

x = The length of time to do a cable installation
 = 42.8
 = 6.20




P(x < 30)
= P(z < -2.06)
= 0.5 - 0.4803
= 0.0197 or 1.97%

,Answer Accident claims are checked for completeness by
branch offices of Fortune Insurance before they are sent to
a regional office for payment. Historically 80% of the
claims are complete when they reach the regional office.
You select a random sample of 20 claims that have arrived at
the regional office. Find the probability that:

X = Number of completed forms in sample
n = 20
p = 0.80

a. At least 16 claims are complete,

P(X  16) = P(X = 16) + … + P(X = 20)
= 0.6296

b. All 20 are complete,

P(X = 20) = 0.0115

c. Fewer than 12 are complete,

P(X < 12) = P(X  11) = P(X = 0) + … + P(X =
11)
= 0.0100


d. Exactly 12 are complete.

P(X = 12) = 0.0222

, Answer Until this year the mean braking distance of a Nikton automobile moving at 60
miles per hour was 175 feet. Nikton engineers have developed what they consider a better
braking system. They test the new brake system on a random sample of 81 cars and
determine the sample mean braking distance. The results are:




a. Compute the 90% confidence interval for the mean braking
distance. Interpret this interval.




We are 90% confident that the population mean breaking distance
is between 162.1 ft and 171.9 ft.


b. How many cars should be tested if Nikton wants to be 90%
confident of being within 2 feet of the population mean braking
distance? Assume the sample size will be larger than 30.

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