Scenario 3Some runners believe that listening to music whilerunning enhances their performance. Some say musichinders their performance. The authors of a paperwondered if this is true for experienced runners. Theyrecorded time to exhaustion for these triathletes whilerunning on a treadmill at a speed determined to benear their peak running velocity. The time to exhaustionwas recorded for each participant on two differentdays. On one day, each participant ran while listeningto music that the runner selected as motivational. On adifferent day, each participant ran with no musicplaying. For purposes of this exercise, assume that it isreasonable to regard these triathletes as representativeof the population of experienced triathletes. Onlysummary quantities were given in the paper, but thedata in the table below are consistent with the meansand standard deviations given in the paper. Scenario 3Runner Music No Music15354682531449528482452457143356249659275554718399499537552105425001152152412534555Do the data provide convincing evidence that the meantime to exhaustion for experienced triathletes isdifferent when they run while listening to motivationalmusic? Test the relevant hypotheses using asignificance level of 0.1.Suggestion: write out every step in the hypothesistest.3.6.

Null Hypothesis: H0: The mean time to exhaustion for experienced triathletes is same when they run…

Answered: Some runners believe that listening to…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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The table below shows the number of state-registered automatic weapons and the murder rate for several Northwestern states. xx 11.8 8.6 6.6 3.8 2.4 2.6 2.3 0.8 yy 13.9 11.1 9.9 7.1 6.4 6.4 5.8 4.7 xx = thousands of automatic weaponsyy = murders per 100,000 residentsUse your calculator to determine the equation of the regression line. (Round to 2 decimal places)A) Determine the regression equation in y = ax + b form and write it below. Answer=? B) How many murders per 100,000 residents can be expected in a state with 2.7 thousand automatic weapons?Answer = ? Round to 3 decimal places. C) How many murders per 100,000 residents can be expected in a state with 7.2 thousand automatic weapons?Answer = ? Round to 3 decimal places.
A major software company is considering a price increase on its most popular product. They are currently selling below their competitor’s price. Someone from the Brand team suggested they check consumer response before making a price increase. You are called into explain how this marketing research might be carried out. In terms of qualitative and quantitative options you tell them...
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The time data is therefore the (Chebyshev's Rule, Empirical Rule) says we should expect of the time data to be minutes.
A researcher gives a depression scale to 300 people now, 6 weeks later, and 6 months later. She finds that the depression scale means are relatively the same over those three time periods. Does this mean that the depression scale is valid, and/or reliable? Explain.
As humans we consume food. The body extracts good things such as proteins and vitamins and throws away waste. A typical waste product is uric acid. High levels of uric acid can be an indication of conditions such as gout, kidney disease, and cancer. For females a high level of uric acid is 6 mg/dL or more and for males a high level of uric acid is 7 mg/dL or more. Suppose, over a period of months, an adult female was given 5 blood tests for uric acid. The results of each blood test are shown below. results 6.75 6.68 12.07 10.29 6.68 The distribution of uric acid in healthy adult females is normally distributed with known population standard deviation, σ=2.09σ=2.09 mg/dl.Find a 95% confidence interval for the population mean of uric acid in this adult female's blood. Assume the sample of blood tests were given in a way that's equivalent to a simple random sample. (Round your answers to two decimal places.)margin of error mg/dLlower limit mg/dLupper limit mg/dLDoes this…
Psychologists Erik Erikson suggested that individuals go through eight developmental stages of life. Erikson believed that at stage 8 (age 65 to death), an adult's fear of death can be predicted by the satisfaction they feel when reflecting back on their lives. To investigate, a psychiatrist interviewed a random sample of adults age 65 and older, and scored them on their satisfaction with their lives and their fear of death. The psychiatrist wants to confirm Erikson's theory. What can be concluded with a = 0.01? fear of death satisfied 4 3 4 2 2 10 3 2 4 7 3 4 8. 4 a) Select and compute the appropriate statistic. ---Select--- b) Input the appropriate value(s) to make a decision about Ho. p-value X ; Decision: Fail to reject H0 v c) Using the SPSS results, compute the corresponding effect size(s) and indicate magnitude(s). If not appropriate, input and/or select "na" below.. Effect Size = 0.266 ; Magnitude: na d) Make an interpretation based on the results. More life satisfaction…
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Please help needed on this asap. Thanks so much! It has been observed that some persons who suffer colitis, again suffer colitis within one year of the first episode. This is due, in part, to damage from the first episode. The performance of a new drug designed to prevent a second episode is to be tested for its effectiveness in preventing a second episode. In order to do this two groups of people suffering a first episode are selected. There are 170 people in the first group and this group will be administered the new drug. There are 132 people in the second group and this group wil be administered a placebo. After one year, 14% of the first group has a second episode and 18% of the second group has a second episode. What is a 90% confidence interval for the difference in true proportion of the two groups.

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Some runners believe that listening to music while running enhances their performance. Some say mus hinders their performance. The authors of a paper wondered if this is true for experienced runners. The recorded time to exhaustion for these triathletes whi