A law enforcement agent believes that 80% of the drivers stopped on Saturday nights for speeding are under the influence of alcohol. Suspecting that the proportion under the influence may be higher than 80%, a SRS of 160 drivers who were stopped for speeding on a Saturday night was taken. 136 of the drivers in the sample were under the influence of alcohol.
A) What are the appropriate null and alternative hypotheses?
H0: π = 0.80 versus Ha: π > 0.80 |
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H0: π = 0.85 versus Ha: π ≠ 0.85 |
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H0: π = 0.80 versus Ha: π ≠ 0.85 |
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H0: π = 0.80 versus Ha: π = 0.85 |
B) What is the value of the test statistic for this problem?
z = 1.37 |
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z = 1.58 |
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z = 1.68 |
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z = 1.26 |
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z = 1.48 |
C)What is the p-value for this test?
0.0694 |
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0.0571 |
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0.1329 |
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0.0727 |
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0.0853 |
D) What is the conclusion and WHY?
Accept H0 (or fail to reject Ha), since p-value > 0.05 |
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Accept H0 (or fail to reject Ha), since p-value < 0.05 |
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Reject H0, since p-value > 0.05 |
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Reject H0, since p-value < 0.05 |
E) In real life language, we can summarize the results as
follows:
The proportion speeding under the influence is not 0.80. |
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The proportion speeding under the influence is 0.80. |
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There was enough evidence in the data to prove the proportion speeding under the influence is higher than 0.80. |
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There was not enough evidence in the data to prove the proportion speeding under the influence is higher than 0.80. |
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