Pregunta
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a. This is a right-tailed test.
b.
-value ≈ 0.278
**c. We fail to reject
at
.
Solución
a. Identification of the Hypothesis Test
Since the claim is
, the alternative hypothesis is one‐sided with a greater than sign. Therefore, the test is a right-tailed test.
b. Finding the
-value
The test statistic is given as
. For a right-tailed test, the
-value is calculated as:
where
is the cumulative distribution function of the standard normal distribution.
Using the standard normal table, we find:
Thus,
Rounded to three decimal places, the
-value is approximately
.
c. Decision at
Since the
-value (
) is greater than the significance level
, we do not have sufficient evidence to reject the null hypothesis.
Therefore, we fail to reject
.
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The Deep Dive
The hypothesis test is identified as a right-tailed test because we are focusing on the claim that the population proportion
is greater than
. In a right-tailed test, we are interested in the area under the curve to the right of the test statistic, indicating that we’re looking for evidence to support the claim that
exceeds the specified value.
To find the
-value corresponding to the test statistic
, we can consult a standard normal distribution table or use a calculator. The
-value represents the probability of observing a test statistic as extreme as, or more extreme than,
in the direction of the alternative hypothesis. For
, the area to the right can be calculated as
. This leads to a
-value approximately equal to
(the area in the right tail).
Given the
-value and the significance level
, since
, we fail to reject the null hypothesis
. This means the data does not provide sufficient evidence to support the claim that
.

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