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You are a marketing expert for a company that is producing a new kind of energy bar. You want to provide evidence that consuming that particular bar 1 hour before engaging in strenuous exercise of a long duration-such as running a marathon-will improve performance. You decide to conduct a test at a half-marathon race. You know that the participants' average time in the race the previous year was 2 hours and 14 minutes (2:14, or 134 minutes). Since the course and conditions are similar this year, you decide to provide the bar to 100 randomly selected participants and compare their times with last year's average. The average time of your sample is 2rhours and 8 minutes (2:08, or 128 minutes) with a sample standard deviation of 25 minutes. You use a statistical computing package, such as SPSS®, to conduct a single-sample t test. The table that follows consists of the output: One-Sample Test Test Value = 134 95% Confidence Interval of Sig. Мean the Difference df (Two-tailed) Difference Lower Upper Time -2.40 99 0.018 -6.00 -10.96 -1.04 Given these results, which of the following is the most accurate statement you can include in the marketing materials for the energy bar company? (Assume the industry's standard significance level is a = .05.) O Consuming the energy bar 1 hour before the race began had a significant effect on performance, t(99) = -2.40, p = 0.018. Participants who consumed the energy bar ran an average of six minutes faster than last year's average. O There was no convincing evidence that consuming the energy bar 1 hour before the race began had an effect on performance, t(100) = - 6.00, p = .05. O Consuming the energy bar 1 hour before the race began had a significant effect on performance, t(100) = -6.00, p = 0.018. Participants who consumed the energy bar ran an average of six minutes faster than last year's average.

You are a marketing expert for a company that is producing a new kind of energy bar. You want to provide evidence that consuming that particular bar 1 hour before engaging in strenuous exercise of a long duration-such as running a marathon-will improve performance. You decide to conduct a test at a half-marathon race. You know that the participants' average time in the race the previous year was 2 hours and 14 minutes (2:14, or 134 minutes). Since the course and conditions are similar this year, you decide to provide the bar to 100 randomly selected participants and compare their times with last year's average. The average time of your sample is 2rhours and 8 minutes (2:08, or 128 minutes) with a sample standard deviation of 25 minutes. You use a statistical computing package, such as SPSS®, to conduct a single-sample t test. The table that follows consists of the output: One-Sample Test Test Value = 134 95% Confidence Interval of Sig. Мean the Difference df (Two-tailed) Difference Lower Upper Time -2.40 99 0.018 -6.00 -10.96 -1.04 Given these results, which of the following is the most accurate statement you can include in the marketing materials for the energy bar company? (Assume the industry's standard significance level is a = .05.) O Consuming the energy bar 1 hour before the race began had a significant effect on performance, t(99) = -2.40, p = 0.018. Participants who consumed the energy bar ran an average of six minutes faster than last year's average. O There was no convincing evidence that consuming the energy bar 1 hour before the race began had an effect on performance, t(100) = - 6.00, p = .05. O Consuming the energy bar 1 hour before the race began had a significant effect on performance, t(100) = -6.00, p = 0.018. Participants who consumed the energy bar ran an average of six minutes faster than last year's average.

MATLAB: An Introduction with Applications
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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SPSS You are a marketing expert for a company that is producing a new kind of energy bar. You want to provide evidence that consuming that particular bar 1 hour before engaging in strenuous exercise of a long duration-such as running a marathon-will improve performance. You decide to conduct a test at a half-marathon race. You know that the participants' average time in the race the previous year was 2 hours and 14 minutes (2:14, or 134 minutes). Since the course and conditions are similar this year, you decide to provide the bar to 100 randomly selected participants and compare their times with last year's average. The average time of your sample is 2rhours and 8 minutes (2:08, or 128 minutes) with a sample standard deviation of 25 minutes. You use a statistical computing package, such as SPSS®, to conduct a single-sample t test. The table that follows consists of the output: One-Sample Test Test Value = 134 95% Confidence Interval of Sig. Mean the Difference df (Two-tailed) Difference Lower Upper Time -2.40 99 0.018 -6.00 -10.96 -1.04 Given these results, which of the following is the most accurate statement you can include in the marketing materials for the energy bar company? (Assume the industry's standard significance level is a = .05.) O Consuming the energy bar 1 hour before the race began had a significant effect on performance, t(99) = -2.40, p 0.018. Participants who consumed the energy bar ran an average of six minutes faster than last year's average. O There was no convincing evidence that consuming the energy bar 1 hour before the race began had an effect on performance, t(100) = - 6.00, p = .05. O Consuming the energy bar 1 hour before the race began had a significant effect on performance, t(100) = -6.00, p = 0.018. Participants who consumed the energy bar ran an average of six minutes faster than last year's average. O There was no convincing evidence that consuming the eneray bar 1 hour before the race hegan had an effect on nerformance t(99) MacBook Air
Transcribed Image Text:SPSS You are a marketing expert for a company that is producing a new kind of energy bar. You want to provide evidence that consuming that particular bar 1 hour before engaging in strenuous exercise of a long duration-such as running a marathon-will improve performance. You decide to conduct a test at a half-marathon race. You know that the participants' average time in the race the previous year was 2 hours and 14 minutes (2:14, or 134 minutes). Since the course and conditions are similar this year, you decide to provide the bar to 100 randomly selected participants and compare their times with last year's average. The average time of your sample is 2rhours and 8 minutes (2:08, or 128 minutes) with a sample standard deviation of 25 minutes. You use a statistical computing package, such as SPSS®, to conduct a single-sample t test. The table that follows consists of the output: One-Sample Test Test Value = 134 95% Confidence Interval of Sig. Mean the Difference df (Two-tailed) Difference Lower Upper Time -2.40 99 0.018 -6.00 -10.96 -1.04 Given these results, which of the following is the most accurate statement you can include in the marketing materials for the energy bar company? (Assume the industry's standard significance level is a = .05.) O Consuming the energy bar 1 hour before the race began had a significant effect on performance, t(99) = -2.40, p 0.018. Participants who consumed the energy bar ran an average of six minutes faster than last year's average. O There was no convincing evidence that consuming the energy bar 1 hour before the race began had an effect on performance, t(100) = - 6.00, p = .05. O Consuming the energy bar 1 hour before the race began had a significant effect on performance, t(100) = -6.00, p = 0.018. Participants who consumed the energy bar ran an average of six minutes faster than last year's average. O There was no convincing evidence that consuming the eneray bar 1 hour before the race hegan had an effect on nerformance t(99) MacBook Air
TTe averaye ume vr your sampie is 2 TIours anuo minutesST2.00, 0 120 nutes) wiu a sampre Staridaruueviauomor 23 TIuces. TOUuse a statistical computing package, such as SPSS®, to conduct a single-samplet test. The table that follows consists of the output: One-Sample Test Test Value = 134 95% Confidence Interval of Sig. Мean the Difference df (Two-tailed) Difference Lower Upper Time -2.40 99 0.018 -6.00 -10.96 -1.04 Given these results, which of the following is the most accurate statement you can include in the marketing materials for the energy bar company? (Assume the industry's standard significance level is a = .05.) O Consuming the energy bar 1 hour before the race began had a significant effect on performance, t(99) = -2.40, p = 0.018 Participants who consumed the energy bar ran an average of six minutes faster than last year's average. O There was no convincing evidence that consuming the energy bar 1 hour before the race began had an effect on performance, t(100) = - 6.00, p = .05. O Consuming the energy bar 1 hour before the race began had a significant effect on performance, t(100) = -6.00, p = 0.018. Participants who consumed the energy bar ran an average of six minutes faster than last year's average. O There was no convincing evidence that consuming the energy bar 1 hour before the race began had an effect on performance, t(99) = 2.40, p .05. Grade It Now Save & Continue Continue without saving
Transcribed Image Text:TTe averaye ume vr your sampie is 2 TIours anuo minutesST2.00, 0 120 nutes) wiu a sampre Staridaruueviauomor 23 TIuces. TOUuse a statistical computing package, such as SPSS®, to conduct a single-samplet test. The table that follows consists of the output: One-Sample Test Test Value = 134 95% Confidence Interval of Sig. Мean the Difference df (Two-tailed) Difference Lower Upper Time -2.40 99 0.018 -6.00 -10.96 -1.04 Given these results, which of the following is the most accurate statement you can include in the marketing materials for the energy bar company? (Assume the industry's standard significance level is a = .05.) O Consuming the energy bar 1 hour before the race began had a significant effect on performance, t(99) = -2.40, p = 0.018 Participants who consumed the energy bar ran an average of six minutes faster than last year's average. O There was no convincing evidence that consuming the energy bar 1 hour before the race began had an effect on performance, t(100) = - 6.00, p = .05. O Consuming the energy bar 1 hour before the race began had a significant effect on performance, t(100) = -6.00, p = 0.018. Participants who consumed the energy bar ran an average of six minutes faster than last year's average. O There was no convincing evidence that consuming the energy bar 1 hour before the race began had an effect on performance, t(99) = 2.40, p .05. Grade It Now Save & Continue Continue without saving
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