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/cm?/min) was measured. For m = 9 subjects with the syndrome, the average heat output was x = 0.62, and for n = 9 nonsufferers, the average output was 2.06. Let u, and u, denote the true average heat outputs for the sufferers and nonsufferers,respectively. Assume that the two distributions of heat output are normal with o, = 0.1 and o, = 0.5What is the probability of a type II error vhen the actual difference between u, and uz is u, - uz = -1.1? (Round your answer to four decimal places.)Assuming that m = n, what sample sizes are required to ensure that B = 0.1 when u1 - H2 = -1.1? (Round your answer up to the nearest whole number.)

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Answered: Persons having Raynaud's syndrome are…

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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A sample of n = 16 scores produces a t statistic of t = 2.00. If the sample is used to measure effect size with r2, what value will be obtained for r2?
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 = 0.65, and for n = 9 nonsufferers, the average output was 2.03. 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 wit
A random sample of 160 car purchases are selected and categorized by age. The results are listed below. The age distribution of drivers for the given categories is 18% for the under 26 group, 39% for the 26-45 group, 31% for the 45-65 group, and 12% for the group over 65. Find the critical value xa to test the claim that all ages have purchase rates proportional to their driving rates. Use α = 0.05. Round to three decimal places. Age Under 26 26-45 46-65 Over 65 66 39 30 Purchases O A. 11.143 OB. 7.815 O C. 6.251 OD. 9.348 25
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