Many runners believe that listening to music while running enhances their performance. The authors of a paper wondered if this is true for experienced runners. They recorded time to exhaustion for 11 triathletes while running on a treadmill at a speed determined to be near their peak running velocity. The time to exhaustion was recorded for each participant on two different days. On one day, each participant ran while listening to music that the runner selected as motivational. On a different day, each participant ran with no music playing. For purposes of this exercise, assume that it is reasonable to regard these 11 triathletes as representative of the population of experienced triathletes. Only summary quantities were given in the paper, but the data in the table below are consistent with the means and standard deviations given in the paper. Time to exhaustion (in seconds) Runner 1 2 3 4 5 6 7 8 9 10 ⒸM₂! Ha <0 H₂i H₂O Motivational music H₂H0 Ⓒ Hoi Hg > 0 H₂i Ho <0 535 534 528 522 433 496 555 399 537 541 524 USE SALT No music 468 449 481 574 561 591 474 499 551 500 = Kg Do the data provide convincing evidence that the mean time to exhaustion for experienced triathletes is greater when they run while listening to motivational music? Test the relevant hypotheses using a significance level of a 0.05. (Use - Hmusic #no music) State the appropriate null and alternative hypotheses. ⒸM₂iHa=0 H₂: Hg 0 ○ Hoi Hg=0 522 Find the test statistic and P-value. (Use a table or SALT. Round your test statistic to one decimal place and your P-value to three decimal places.) t- P-valueEnter a number State the conclusion in the problem context. We reject Ho. The data do not provide convincing evidence that the mean time to exhaustion for experienced triathletes is greater when they run while listening to motivational music Ⓒ We reject Ma. The data provide convincing evidence that the mean time to exhaustion for experienced triathletes is greater when they run while listening to motivational music

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Many runners believe that listening to music while running enhances their performance. The authors of a paper wondered if this is true for experienced runners. They recorded time to exhaustion for 11 triathletes while running on a treadmill at a speed determined to be near their peak running velocity. The time to exhaustion was recorded for each participant
on two different days. On one day, each participant ran while listening to music that the runner selected as motivational. On a different day, each participant ran with no music playing.
For purposes of this exercise, assume that it is reasonable to regard these 11 triathletes as representative of the population of experienced triathletes. Only summary quantities were given in the paper, but the data in the table below are consistent with the means and standard deviations given in the paper.
Time to exhaustion (in seconds)
Motivational
music
Runner
1
2
3
4
5
P-value
6
Ho: Md > O
Ha: Md<
7
8
9
10
11
Ha: Md 0
= 0
Ho: Md
H₂: Md < 0
оно: нако
Hai Ma > O
Ho: Md = 0
H₂: Md > 0
< 0
535
534
528
Enter a number.
522
433
496
555
399
537
541
524
USE SALT
No music
468
449
481
574
Do the data provide convincing evidence that the mean time to exhaustion for experienced triathletes is greater when they run while listening to motivational music? Test the relevant hypotheses using a significance level of α = 0.05. (Used="music - Mno music.)
State the appropriate null and alternative hypotheses.
○ Ho: Md =
0
561
591
474
499
551
500
522
Find the test statistic and P-value. (Use a table or SALT. Round your test statistic to one decimal place and your P-value to three decimal places.)
t =
State the conclusion in the problem context.
We reject Ho. The data do not provide convincing evidence that the mean time to exhaustion for experienced triathletes is greater when they run while listening to motivational music.
We reject Ho. The data provide convincing evidence that the mean time to exhaustion for experienced triathletes is greater when they run while listening to motivational music.
Transcribed Image Text:Many runners believe that listening to music while running enhances their performance. The authors of a paper wondered if this is true for experienced runners. They recorded time to exhaustion for 11 triathletes while running on a treadmill at a speed determined to be near their peak running velocity. The time to exhaustion was recorded for each participant on two different days. On one day, each participant ran while listening to music that the runner selected as motivational. On a different day, each participant ran with no music playing. For purposes of this exercise, assume that it is reasonable to regard these 11 triathletes as representative of the population of experienced triathletes. Only summary quantities were given in the paper, but the data in the table below are consistent with the means and standard deviations given in the paper. Time to exhaustion (in seconds) Motivational music Runner 1 2 3 4 5 P-value 6 Ho: Md > O Ha: Md< 7 8 9 10 11 Ha: Md 0 = 0 Ho: Md H₂: Md < 0 оно: нако Hai Ma > O Ho: Md = 0 H₂: Md > 0 < 0 535 534 528 Enter a number. 522 433 496 555 399 537 541 524 USE SALT No music 468 449 481 574 Do the data provide convincing evidence that the mean time to exhaustion for experienced triathletes is greater when they run while listening to motivational music? Test the relevant hypotheses using a significance level of α = 0.05. (Used="music - Mno music.) State the appropriate null and alternative hypotheses. ○ Ho: Md = 0 561 591 474 499 551 500 522 Find the test statistic and P-value. (Use a table or SALT. Round your test statistic to one decimal place and your P-value to three decimal places.) t = State the conclusion in the problem context. We reject Ho. The data do not provide convincing evidence that the mean time to exhaustion for experienced triathletes is greater when they run while listening to motivational music. We reject Ho. The data provide convincing evidence that the mean time to exhaustion for experienced triathletes is greater when they run while listening to motivational music.
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