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SPSS A study of the effect of caffeine on muscle metabolism used eighteen male volunteers who each underwent arm exercise tests. Nine of the men

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SPSS

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A study of the effect of caffeine on muscle metabolism used eighteen male volunteers who each underwent arm exercise tests. Nine of the men were randomly selected to take a capsule containing pure caffeine one hour before the test. The other men received a placebo capsule. During each exercise the subject's respiratory exchange ratio (RER) was measured, (RER is the ratio of CO2 produced to O2 consumed and is an indicator of whether energy is being obtained from carbohydrates or fats) The question of interest to the experimenter was whether, on average, caffeine changes RER. The two populations being compared are "men who have not taken caffeine" and "men who have taken caffeine" Type of Capsule Respiratory Exchange Ratio Placebo 105 119 100 97 96 101 94 95 98 Caffeine 96 99 94 89 96 93 88 105 88 There is no significant difference in RER between those who took the Placebo capsule (M=100.56, SD=7.70) and those who took the Caffeine capsule (M=94.22, SD-5.61), t(16)=2.00, p>0.05, d=0.94. There is no significant difference in RER between those who took the Placebo capsule (M=102.40, SD=9.97) and those who took the Caffeine capsule (M=95.90, SD=5.67), t(18)=1.79, p>0.05, d=0.80. There is significant difference in RER between those who took the Placebo capsule (M=102.40, SD-9.97) and those who took the Caffeine capsule (M-95.90, SD=5.67), t(18)-1.79, p-0.05, d=0.80. There is significant difference in RER between those who took the Placebo capsule (M=100.56, SD-7.70) and those who took the Caffeine capsule (M=94.22, SD=5.61), t(16)=2.00, p0.05, and accounted for 62.70% of the variance in Experience in Years scores. A regression analysis was conducted with Income as criterion variable and Experience in Years as the predictor, Experience in Years was NOT a significant predictor of Income, B- -0.82, t(9)= -4.013, p>0.05, and accounted for 66.80% of the variance in Income scores. A regression analysis was conducted with Income as criterion variable and Experience in Years as the predictor. Experience In Years was a significant predictor of Income, 8- -0.82, t(9)= -4,013, p

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