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Name: _________________KEY___________________________
6 February 2009
IE330 Spring 2009
Test 1c
No calculators, closed book, closed notes.
Do not tear off any pages.
Once you are finished, turn in the test and leave quietly.
1 of 10
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True or False questions (5 points each)
1.
(True or
False) α is defined as the probability that the hypothesis test conclusion
will be wrong.
2.
(True or
False) β is defined as the probability that a type I error could be made.
3.
(True or
False) Power is defined as the probability that the null hypothesis will be
rejected given that the null hypothesis is true.
4.
(True or
False) α is defined as the probability that the null hypothesis is rejected
given that the null hypothesis is actually false.
5.
(
True or False) For H0: µ = 50 vs. H1:
µ < 50, if the null hypothesis is rejected at
α = 0.05, then we can say that the null hypothesis would also be rejected at α =
0.10.
Multiple choice questions (5 points each)
6.
Suppose we choose two samples from a population.
From the first sample we
construct a 99% confidence interval around our estimate of mean, and from the
second sample we construct a 95% confidence interval around our estimate of
mean.
Which of the following can we say about the two confidence intervals
(Choose all that are true)?
a.
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 Spring '11
 Jake

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