QUESTION 1
The level of significance
can be any positive value
can be any value
is (1 - confidence level)
can be any value between -96 to 96
QUESTION 2
When the p-value is used for hypothesis testing, the null hypothesis is rejected if
p-value ≤ α
α < p-value
p-value ≥ α
p-value = 1 - α
QUESTION 3
When each data value in one sample is matched with a corresponding data value in another sample, the samples are known as
corresponding samples
matched samples
independent samples
None of these alternatives is correct.
QUESTION 4
What type of error occurs if you reject H0 when, in fact, it is true?
Type II
Type I
either Type I or Type II, depending on the level of significance
either Type I or Type II, depending on whether the test is one tail or two tail
QUESTION 5
The p-value is a probability that measures the support (or lack of support) for the
null hypothesis
alternative hypothesis
either the null or the alternative hypothesis
sample statistic
QUESTION 6
The power curve provides the probability of
correctly accepting the null hypothesis
incorrectly accepting the null hypothesis
correctly rejecting the alternative hypothesis
correctly rejecting the null hypothesis
QUESTION 7
A Type II error is committed when
a true alternative hypothesis is mistakenly rejected
a true null hypothesis is mistakenly rejected
the sample size has been too small
not enough information has been available
QUESTION 8
A two-tailed test is performed at 95% confidence. The p-value is determined to be 0.09. The null hypothesis
must be rejected
should not be rejected
could be rejected, depending on the sample size
has been designed incorrectly
QUESTION 9
Your investment executive claims that the average yearly rate of return on the stocks she recommends is at least 10.0%. You plan on taking a sample to test her claim. The correct set of hypotheses is
H0: μ < 10.0% Ha: μ ≥ 10.0%
H0: μ ≤ 10.0% Ha: μ > 10.0%
H0: μ > 10.0% Ha: μ ≤ 10.0%
H0: μ ≥ 10.0% Ha: μ < 10.0%
QUESTION 10
For a two-tailed test at 98.4% confidence, Z =
96
14
2.41
0.8612.