A USA Today article claims that the proportion of people who
believe global warming is a serious issue is 0.59, but given the
number of people you've talked to about this same issue, you
believe it is greater than 0.59. The hypotheses for this test are
Null Hypothesis: p ≤ 0.59, Alternative Hypothesis: p > 0.59. You
take a random sample and perform a hypothesis test, getting a
p-value of 0.9623. What is the appropriate conclusion? Conclude at
the 5% level of significance.
Question options:
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1)
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The proportion of people who believe global warming is a
serious issue is significantly larger than 0.59. |
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2)
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We did not find enough evidence to say the proportion of people
who believe global warming is a serious issue is less than
0.59. |
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3)
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We did not find enough evidence to say a significant difference
exists between the proportion of people who believe global warming
is a serious issue and 0.59 |
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4)
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The proportion of people who believe global warming is a
serious issue is less than or equal to 0.59. |
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5)
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We did not find enough evidence to say the proportion of people
who believe global warming is a serious issue is larger than
0.59. |
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Question (1 point)
In the year 2000, the average car had a fuel economy of 21.3
MPG. You are curious as to whether the average in the present day
is greater than the historical value. The hypotheses for this
scenario are as follows: Null Hypothesis: μ ≤ 21.3, Alternative
Hypothesis: μ > 21.3. If the true average fuel economy today is
19.7 MPG and the null hypothesis is rejected, did a type I, type
II, or no error occur?
Question options:
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1)
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Type II Error has occurred |
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2)
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Type I Error has occurred. |
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3)
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No error has occurred. |
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4)
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We do not know the degrees of freedom, so we cannot determine
if an error has occurred. |
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5)
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We do not know the p-value, so we cannot determine if an error
has occurred. |
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