A student at a university wants to determine if the proportion
of students that use iPhones is different from 0.45. If the student
conducts a hypothesis test, what will the null and alternative
hypotheses be?
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1)
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HO: p ≤ 0.45
HA: p > 0.45 |
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2)
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HO: p > 0.45
HA: p ≤ 0.45 |
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3)
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HO: p = 0.45
HA: p ≠ 0.45 |
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4)
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HO: p ≠ 0.45
HA: p = 0.45 |
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5)
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HO: p ≥ 0.45
HA: p < 0.45 |
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A USA Today article claims that the proportion of people who
believe global warming is a serious issue is 0.79, but given the
number of people you've talked to about this same issue, you
believe it is less than 0.79. If you conduct a hypothesis test,
what will the null and alternative hypotheses be?
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1)
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HO: p ≤ 0.79
HA: p > 0.79 |
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2)
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HO: p < 0.79
HA: p ≥ 0.79 |
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3)
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HO: p ≥ 0.79
HA: p < 0.79 |
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4)
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HO: p = 0.79
HA: p ≠ 0.79 |
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5)
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HO: p > 0.79
HA: p ≤ 0.79 |
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Your friend tells you that the proportion of active Major League
Baseball players who have a batting average greater than .300 is
less than 0.62, a claim you would like to test. The hypotheses for
this test are Null Hypothesis: p ≥ 0.62, Alternative Hypothesis: p
< 0.62. If you randomly sample 29 players and determine that 22
of them have a batting average higher than .300, what is the test
statistic and p-value?
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1)
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Test Statistic: 1.538, P-Value: 1.876 |
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2)
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Test Statistic: 1.538, P-Value: 0.938 |
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3)
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Test Statistic: -1.538, P-Value: 0.938 |
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4)
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Test Statistic: -1.538, P-Value: 0.062 |
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5)
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Test Statistic: 1.538, P-Value: 0.062 |
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A student at a university wants to determine if the proportion
of students that use iPhones is different from 0.4. The hypotheses
for this scenario are as follows. Null Hypothesis: p = 0.4,
Alternative Hypothesis: p ≠ 0.4. If the student randomly samples 26
other students and finds that 9 of them use iPhones, what is the
test statistic and p-value?
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1)
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Test Statistic: -0.56, P-Value: 0.712 |
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2)
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Test Statistic: -0.56, P-Value: 0.575 |
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3)
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Test Statistic: 0.56, P-Value: 0.575 |
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4)
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Test Statistic: -0.56, P-Value: 0.425 |
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5)
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Test Statistic: -0.56, P-Value: 0.288 |
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