Practice Exam 2
T
F
a) Suppose (24, 25) is a 95% confidence interval estimate for a
population mean
. Then there is a 95% chance that
is between 24
and 25.
T
F
b) If 95% confidence intervals are calculated from all possible
samples of the give size,
will be in 95% of these intervals.
T
F
c) Two confidence intervals (214.4, 215.6) and (214.1, 215.9) are
calculated from the same sample data.
The interval (214.4, 215.6) has
higher confidence level because it is narrower.
T
F
d) When the null hypothesis is not rejected,
it is because it is true.
T
F
e) If the pvalue for a hypothesis test is 0.42, the probability that the
null hypothesis is true is 0.42.
T
F
f) Like the normal distribution, the tdistribution is symmetric.
T
F
g) The greater the df, the closer the tdistributions are to the normal
distribution.
T
F
h) If there is sufficient evidence to reject a null hypothesis at the 5%
level, then there is sufficient evidence to reject it at the 1%
T
F
i) In conducting a hypothesis test, it is possible to simultaneously
make both a Type I error and a Type II error.
T
F
j) In medical disease testing with the null hypothesis that the patient
is healthy, a Type I error is associated with a false negative; that is the
test incorrectly indicates that the patient is disease free.
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 Spring '08
 Staff
 Statistics, Normal Distribution, Statistical hypothesis testing

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