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Final Exam

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Final Exam Blank
Problem 1
A diagnostic test for a certain disease is said to be 90% accurate in that, if a person has the disease, the
test will detect it with a probability of 0.9. Also, if a person does not have the disease, the test will report
that he or she does not have it with a probability of 0.9. Only 1% of the population has the disease in
question. If a person is chosen at random from the population and the diagnostic test indicates that she
has the disease, what is the conditional probability that she does in fact have the disease?
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Problem 2
The number of messages posted in a bulletin board is a poisson random variable with a mean of 10
messages per hour.
a) What is the probability that less than two messages are posted in one hour?
b) Suppose that no message has been posted for 3 hours. Find the probability that another will elapse
before the next message arrives.
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Problem 3
Hits on a high-volume website are assumed to follow a poison distribution with a mean of 10,000 hits
per day. What is the probability of more than 10,150 hits in a day? Approximately the question by using
a normal distribution.
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Problem 4
a) Determine the value of c that makes the function f(x,y)=c(x+y) a joint probability density function over
the range 0<x<3, x<y<x+1.
b) For the Joint Probability density function in a), find E[X].
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Problem 5
a) A rivet is to be inserted into a hole. A random sample of n=18 is selected and the diameter of the hole
is measured, which is assumed to be normally distributed. The sample variance of the diameter of these
18 samples is s2= (0.006)2 mm2. Construct a 95%^ 2 sided symmetrical confidence interval on the true
variance of the diameter.
b) The height of a certain group of adults is assumed to be normally distributed with an unknown mean
μ centimeters and a known standard deviation σ=4 centimeters. The design of the experiment’s
team has to recommend the sample size that is required to construct a 95% two sided symmetrical
confidence interval on the mean μ, which has a total width of 3.0 centimeters, or the confidence
interval as +/- 1.50 centimeters. Find the value of the required sample size for this study.
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Problem 6
The mean water temperature downstream from a power plant cooling tower discharge pipe should be
no more than 1000F. It is assumed that the water temperature follows a normal distribution with
parameters μ and σ. An environment engineer is interested in the following hypothesis:
Ho: μ =100, H1: μ>100
Part A
Past Experience indicates that the standard deviation σ of the temperature is 40F. The water
temperature is measured on 7 randomly chosen days and the average temperature is found to be
102.10F.
a) Should the water temperature be judged acceptable with a type 1 error, α =0.01?
b) What is the P-Value for this Test?
c) What is the probability of accepting the null hypothesis at α=0.01 if the true water temperature has a
mean of 1080F?
d) What sample size would be required to detect a true mean of 1020F if we wanted the power of the
test to be at least 0.95?
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PART B
a)The Standard deviation of the water temperature is not known. We have the following values of the
water temperature on 7 randomly chosen days.
104, 96, 101, 99, 106, 103, 102
b) What is the range of the P-value for this test?
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A manufacturer of resistors is proud of the low proportion of defective (p) Resistors produced by the
company. A customer decides to test the following hypothesis:
H0: p=0.01, H1>0.01
For a statistical analysis, the customer takes a random sample of 150 resistors and finds that four (4) are
defective.
a) Would the customer reject the null hypothesis? Use α=0.05
b) What is the P-value for this hypothesis test?
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