WEEK 6 QUIZ
The level of significance
can be any positive value
can be any value
is (1 – confidence level)
can be any value between -1.96 to 1.96
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
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.
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
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
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
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
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
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%
For a two-tailed test at 98.4% confidence, Z =
1.96
1.14
2.41
0.8612
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