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9.1
Other things being equal, the closer the
hypothesized
mean is to the
actual
mean, the larger the risk of committing
a Type II error will be.
9.3
Decision rule: Reject
H
0
if
Z
STAT
< – 1.645 or
Z
STAT
> + 1.645.
9.9
is the probability of incorrectly convicting the defendant when he is innocent.
is the probability of
incorrectly failing to convict the defendant when he is guilty.
9.13
(a)
H
0
:
= 14.6 hours
H
1
:
14.6 hours
(b)
A Type I error is the mistake of concluding that
the mean number of hours studied at your school is
different from the 14.6 hour benchmark reported by
Business Week
when in fact it is not any
different.
(c)
A Type II error is the mistake of not concluding that
the mean number of hours
studied at your school is different from the 14.6 hour benchmark reported by
Business Week
when it
is in fact different.
9.17
d.f.
= 15
9.21
Yes, you may use the
t
test to test the null hypothesis that
= 60 even though the population is leftskewed
because the sample size is sufficiently large (
n
= 160). The
t
test assumes that, if the underlying population is not
normally distributed, the sample size is sufficiently large to enable the test statistic
t
to be influenced by the
Central Limit Theorem.
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This note was uploaded on 05/31/2011 for the course MGT C06 taught by Professor A.stawinoga during the Fall '10 term at University of Toronto Toronto.
 Fall '10
 A.Stawinoga

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