Persons having Raynaud's syndrome are apt to suffer a sudden impairment of blood circulation in fingers and toes. In an experiment to study the extent of this impairment, each subject immersed a forefinger in water and the resulting heat output (cal/cm2/min) was measured. For m = 9 subjects with the syndrome, the average heat output was x = 0.61, and for n = 9 nonsufferers, the average output was 2.07. Let ₁ and ₂ denote the true average heat outputs for the sufferers and nonsufferers, respectively. Assume that the two distributions of heat output are normal with ₁ = 0.1 and ₂ = 0.5. (a) Consider testing Ho: H₁ H₂ = -1.0 versus H₂: ₁-₂ < -1.0 at level 0.01. Describe in words what H₂ says, and then carry out the test. OH, says that the average heat output for sufferers is the same as that of non-sufferers. OH, says that the average heat output for sufferers is less than 1 cal/cm²/min below that of non-sufferers. ⒸH, says that the average heat output for sufferers is more than 1 cal/cm²/min below that of non-sufferers. Calculate the test statistic and P-value. (Round your test statistic to two decimal places and your P-value to four decimal places.) z = -5.271 X x P-value = .0010 State the conclusion in the problem context. O Fail to reject Ho. The data suggests that the average heat output for sufferers is less than 1 cal/cm²/min below that of non-sufferers. O Fail to reject Ho. The data suggests that the average heat output for sufferers is the same as that of non-sufferers. O Reject Ho. The data suggests that the average heat output for sufferers is the same as that of non-sufferers. Reject Ho. The data suggests that the average heat output for sufferers is more than 1 cal/cm²/min below that of non-sufferers. (b) What is the probability of a type II error when the actual difference between ₁ and ₂ is ₁-₂=-1.1? (Round your answer to four decimal places.) X 974 (c) Assuming that m = n, what sample sizes are required to ensure that ß = 0.1 when ₁ - ₂ = -1.1? (Round your answer up to the nearest whole number.) subjects

Calculus For The Life Sciences
2nd Edition
ISBN:9780321964038
Author:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.
Publisher:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.
Chapter8: Further Techniques And Applications Of Integration
Section8.EA: Extended Application Flow Systems
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Persons having Raynaud's syndrome are apt to suffer a sudden impairment of blood circulation in fingers and toes. In an experiment to study the extent of this impairment, each subject immersed a
forefinger in water and the resulting heat output (cal/cm²/min) was measured. For m = 9 subjects with the syndrome, the average heat output was x = 0.61, and for n = 9 nonsufferers, the
average output was 2.07. Let μ₁ and μ₂ denote the true average heat outputs for the sufferers and nonsufferers, respectively. Assume that the two distributions of heat output are normal with
0₁ = 0.1 and ₂ = 0.5.
(a) Consider testing Ho: M₁ M₂ = -1.0 versus H₂: M₁-M₂ < -1.0 at level 0.01. Describe in words what H₂ says, and then carry out the test.
O H₂ says that the average heat output for sufferers is the same as that of non-sufferers.
O H₂ says that the average heat output for sufferers is less than 1 cal/cm²/min below that of non-sufferers.
ⒸH₂ says that the average heat output for sufferers is more than 1 cal/cm2/min below that of non-sufferers.
Calculate the test statistic and P-value. (Round your test statistic to two decimal places and your P-value to four decimal places.)
z = -5.271
X
X
P-value .0010
State the conclusion in the problem context.
O Fail to reject Ho. The data suggests that the average heat output for sufferers is less than 1 cal/cm²/min below that of non-sufferers.
O Fail to reject Ho. The data suggests that the average heat output for sufferers is the same as that of non-sufferers.
O Reject Ho. The data suggests that the average heat output for sufferers is the same as that of non-sufferers.
Reject Ho. The data suggests that the average heat output for sufferers is more than 1 cal/cm²/min below that of non-sufferers.
(b) What is the probability of a type II error when the actual difference between μ₁ and μ₂ is μ₁ −μ₂ = -1.1? (Round your answer to four decimal places.)
.974
X
(c) Assuming that m = n, what sample sizes are required to ensure that ß = 0.1 when μ₁ - ₂ = -1.1? (Round your answer up to the nearest whole number.)
subjects
Transcribed Image Text:Persons having Raynaud's syndrome are apt to suffer a sudden impairment of blood circulation in fingers and toes. In an experiment to study the extent of this impairment, each subject immersed a forefinger in water and the resulting heat output (cal/cm²/min) was measured. For m = 9 subjects with the syndrome, the average heat output was x = 0.61, and for n = 9 nonsufferers, the average output was 2.07. Let μ₁ and μ₂ denote the true average heat outputs for the sufferers and nonsufferers, respectively. Assume that the two distributions of heat output are normal with 0₁ = 0.1 and ₂ = 0.5. (a) Consider testing Ho: M₁ M₂ = -1.0 versus H₂: M₁-M₂ < -1.0 at level 0.01. Describe in words what H₂ says, and then carry out the test. O H₂ says that the average heat output for sufferers is the same as that of non-sufferers. O H₂ says that the average heat output for sufferers is less than 1 cal/cm²/min below that of non-sufferers. ⒸH₂ says that the average heat output for sufferers is more than 1 cal/cm2/min below that of non-sufferers. Calculate the test statistic and P-value. (Round your test statistic to two decimal places and your P-value to four decimal places.) z = -5.271 X X P-value .0010 State the conclusion in the problem context. O Fail to reject Ho. The data suggests that the average heat output for sufferers is less than 1 cal/cm²/min below that of non-sufferers. O Fail to reject Ho. The data suggests that the average heat output for sufferers is the same as that of non-sufferers. O Reject Ho. The data suggests that the average heat output for sufferers is the same as that of non-sufferers. Reject Ho. The data suggests that the average heat output for sufferers is more than 1 cal/cm²/min below that of non-sufferers. (b) What is the probability of a type II error when the actual difference between μ₁ and μ₂ is μ₁ −μ₂ = -1.1? (Round your answer to four decimal places.) .974 X (c) Assuming that m = n, what sample sizes are required to ensure that ß = 0.1 when μ₁ - ₂ = -1.1? (Round your answer up to the nearest whole number.) subjects
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