(See Steps) A researcher claims that a post-lunch nap decreases the amount of time it takes males to sprint 20 meters after a night with only 4 hours of
Question: A researcher claims that a post-lunch nap decreases the amount of time it takes males to sprint 20 meters after a night with only 4 hours of sleep. The table shows the amounts of time (in seconds) it took for 10 males to sprint 20 meters after a night with only 4 hours of sleep when they did not take a post-lunch nap and when they did take a post-lunch nap. At α = 0.05, is there enough evidence to support the researcher's claim? Assume the samples are random and dependent, and the population is normally distributed. Complete parts (a) through (e) below.
| Male | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | |
| Sprint time (without nap) | 4.04 | 4.03 | 3.91 | 4.09 | 3.96 | 3.93 | 4.07 | 4.04 | 3.98 | 3.91 | |
| Sprint time (with nap) | 4.03 | 4.04 | 3.88 | 4.09 | 3.93 | 3.91 | 4.08 | 4.03 | 3.97 | 3.89 |
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Identify the claim and state Upper Ho and Ha.
What is the claim?
Let μd be the hypothesized mean of the difference in the sprint times (without nap−with nap). What are H0 and Ha? -
Find the critical value(s) and identify the rejection region(s).
c) Find the standardized test statistic for the t-test.
d) Decide whether to reject or fail to reject the null hypothesis.
e) Interpret the decision in the context of the original claim.
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