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Scenario 3 Runner Music No Music 1 535 468 2 531 449 528 482 524 571 4 5 433 562 496 592 7 555 471 8 399 499 537 552 10 542 500 11 521 524 12 534 555 Do the data provide convincing evidence that the mean time to exhaustion for experienced triathletes is different when they run while listening to motivational music? Test the relevant hypotheses using a significance level of 0.1. Suggestion: write out every step in the hypothesis test. 3. LO 6.

Scenario 3 Runner Music No Music 1 535 468 2 531 449 528 482 524 571 4 5 433 562 496 592 7 555 471 8 399 499 537 552 10 542 500 11 521 524 12 534 555 Do the data provide convincing evidence that the mean time to exhaustion for experienced triathletes is different when they run while listening to motivational music? Test the relevant hypotheses using a significance level of 0.1. Suggestion: write out every step in the hypothesis test. 3. LO 6.

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
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The test is not a t-test it's a different one but I forgot which one was it

Scenario 3 Runner Music No Music 1 535 468 2 531 449 528 482 4 524 571 433 562 496 592 7 555 471 8 399 499 537 552 10 542 500 11 521 524 12 534 555 Do the data provide convincing evidence that the mean time to exhaustion for experienced triathletes is different when they run while listening to motivational music? Test the relevant hypotheses using a significance level of 0.1. Suggestion: write out every step in the hypothesis test. 3. 6.
Transcribed Image Text:Scenario 3 Runner Music No Music 1 535 468 2 531 449 528 482 4 524 571 433 562 496 592 7 555 471 8 399 499 537 552 10 542 500 11 521 524 12 534 555 Do the data provide convincing evidence that the mean time to exhaustion for experienced triathletes is different when they run while listening to motivational music? Test the relevant hypotheses using a significance level of 0.1. Suggestion: write out every step in the hypothesis test. 3. 6.
Scenario 3 Some runners believe that listening to music while running enhances their performance. Some say music hinders their performance. The authors of a paper wondered if this is true for experienced runners. They recorded time to exhaustion for these 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 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.
Transcribed Image Text:Scenario 3 Some runners believe that listening to music while running enhances their performance. Some say music hinders their performance. The authors of a paper wondered if this is true for experienced runners. They recorded time to exhaustion for these 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 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.
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