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. Runner Time to exhaustion (in seconds) Motivational music No music 1 535 466 2 531 448 3 526 483 4 524 571 5 432 563 6 497 593 7 555 471 8 398 498 9 539 553 10 543 500 11 521 524 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. (Use μd = μmusic − μno music.) State the appropriate null and alternative hypotheses. H0: μd = 0 Ha: μd > 0 H0: μd < 0 Ha: μd > 0 H0: μd > 0 Ha: μd < 0 H0: μd = 0 Ha: μd ≠ 0 H0: μd = 0 Ha: μd < 0 Find the test statistic and P-value. (Use a table or technology. Round your test statistic to one decimal place and your P-value to three decimal places.) t = P-value = State the conclusion in the problem context. We reject H0. 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 fail to reject H0. The data provide convincing evidence that the mean time to exhaustion for experienced triathletes is greater when they run while listening to motivational music. We reject H0. The data provide convincing evidence that the mean time to exhaustion for experienced triathletes is greater when they run while listening to motivational music. We fail to reject H0. 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.
Many runners believe that listening to music while running enhances their performance. The authors of a...
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 triathleteswhile 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...
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...
Does 10K running time decrease when the runner listens to music? Nine runners were timed as they ran a 10K with and without listening to music. The running times in minutes are shown below. Running Time With Music 42 47 35 50 42 49 49 47 46 Without 46 45 38 51 43 53 51 45 48 Music Assume a Normal distribution. What can be concluded at the the a = 0.01 level of significance? For this study, we should...
To investigate the fluid mechanics of swimming, twenty swimmers each swam a specified distance in a water-filled pool and in a pool where the water was thickened with food grade guar gum to create a syrup-like consistency. Velocity, in meters per second, was recorded and the results are given in the table below. Swimmer Velocity (m/s) Water Guar Syrup 1 0.90 0.94 2 0.92 0.99 3 1.00 0.95 4 1.10 1.15 5 1.20 1.24 6 1.25 1.24 7 1.25 1.29...
Twelve runners are asked to run a 10-kilometer race on each of two consecutive weeks. In one of the races, the runners wear one brand of shoe and in the other a different brand. The brand of shoe they wear in which race is determined at random. All runners are timed and are asked to run their best in each race. The results (in minutes) are given below: Runner Brand 1 Brand 2 31.23 32.02 29.33 28.98 30.50 30.63 32.20...
i Running Times (in seconds) Country Heat <MUWLUI-YEZ Name Runner 1 Runner 2 Runner 3 Runner 4 Runner 5 Runner 6 Runner 7 Runner 8 Runner 9 Runner 10 Runner 11 Runner 12 Runner 13 Runner 14 con uno o o oNNNNNNN Time 51.13 51.94 52.02 52.03 52.45 52.84 54.59 51.49 51.82 51.96 51.98 52.24 52.69 53.71 Print Done In a certain running event, preliminary heats are determined by random draw, so it would be expected that the abilities of...
In a pilot study for testing the "truth" to the theory that, on average, U.S. adults gain weight between Thanksgiving and January, a research team looked at responses from 8 randomly selected U.S. adults. The subjects were weighed (lb) on the day before Thanksgiving and again on January 3rd The raw data are found in Table 1. Let α = 0.05 Table 1: Weights (lb) before Thanksgiving and on Jan. 3rd for 8 U.S. adults Pre-Thanksgiving 146.1 157.7 150.7 152.5...
The article "Genetic Tweak Turns Promiscuous Animals into Loyal Mates" (Los Angeles Times, June 17, 2004) summarizes a research study that appeared in the June 2004 issue of Nature. In this study, 11 male meadow voles that had a single gene introduced into a specific part of the brain were compared to 20 male meadow voles that did not undergo this genetic manipulation. All of the voles were paired with a receptive female partner for 24 hours. At the end...
1. We reject the null hypothesis only when: a. our sample mean is larger than the population mean. b. the p value associated with our test statistic is greater than the significance level of the test we have chosen. c. our sample mean is smaller than the population mean. d. the p value associated with our test statistic is smaller than the significance level of the test we have chosen. 2. In a study of simulated juror decision making, researchers...
I need Summary of this Paper i dont need long summary i need What methodology they used , what is the purpose of this paper and some conclusions and contributes of this paper. I need this for my Finishing Project so i need this ASAP please ( IN 1-2-3 HOURS PLEASE !!!) SPECIAL ARTICLES tole of Monetary Policy C Rangarajan What should be the objectives of monetary policy? Does the objective of price stability conflict with the goal of achieving...