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Suppose that the medical literature including previous studies on blood viscosity before and after treatments indicate that the population distribution of the differences in blood viscosity follows a normal distribution. Thus, the researchers decide to assume that the data in this study follow a normal distribution. Suppose also that the patients can be regarded as a random sample from a large population. Construct the appropriate 99% confidence interval for this study BY HAND (not using R). (Round your answer to 2 places after the decimal, if necessary.) 99% Confidence Interval: (

Suppose that the medical literature including previous studies on blood viscosity before and after treatments indicate that the population distribution of the differences in blood viscosity follows a normal distribution. Thus, the researchers decide to assume that the data in this study follow a normal distribution. Suppose also that the patients can be regarded as a random sample from a large population. Construct the appropriate 99% confidence interval for this study BY HAND (not using R). (Round your answer to 2 places after the decimal, if necessary.) 99% Confidence Interval: (

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter10: Statistics
Section10.1: Measures Of Center
Problem 4GP
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Xarelto is a drug that can be used as a blood thinner for patients who have a pulmonary embolism or other blood clotting condition. Researchers wanted to determine if there was a difference in blood viscosity (measured in mPA S) that might be attributed to the drug. In a study, a random sample of 7 patients who had a family history of blood clotting disorders were treated with Xarelto for two months. Their blood viscosity was measured before and after the treatment. The data are shown the table below: Blood Viscocity (mPA. S) Patient 1 2 3 4 5 6 7 y S Before 6.7 7.1 5.6 6.9 7.5 6.8 5.7 6.61 0.71 After 4.3 4.6 6.7 4.4 6.0 4.9 5.8 5.24 0.92 Difference After - Before -2.4 -2.5 1.1 -2.5 -1.5 -1.9 -0.1 -1.37 1.42
Transcribed Image Text:Xarelto is a drug that can be used as a blood thinner for patients who have a pulmonary embolism or other blood clotting condition. Researchers wanted to determine if there was a difference in blood viscosity (measured in mPA S) that might be attributed to the drug. In a study, a random sample of 7 patients who had a family history of blood clotting disorders were treated with Xarelto for two months. Their blood viscosity was measured before and after the treatment. The data are shown the table below: Blood Viscocity (mPA. S) Patient 1 2 3 4 5 6 7 y S Before 6.7 7.1 5.6 6.9 7.5 6.8 5.7 6.61 0.71 After 4.3 4.6 6.7 4.4 6.0 4.9 5.8 5.24 0.92 Difference After - Before -2.4 -2.5 1.1 -2.5 -1.5 -1.9 -0.1 -1.37 1.42
Suppose that the medical literature including previous studies on blood viscosity before and after treatments indicate that the population distribution of the differences in blood viscosity follows a normal distribution. Thus, the researchers decide to assume that the data in this study follow a normal distribution. Suppose also that the patients can be regarded as a random sample from a large population. Construct the appropriate 99% confidence interval for this study BY HAND (not using R). (Round your answer to 2 places after the decimal, if necessary.) 99% Confidence Interval:
Transcribed Image Text:Suppose that the medical literature including previous studies on blood viscosity before and after treatments indicate that the population distribution of the differences in blood viscosity follows a normal distribution. Thus, the researchers decide to assume that the data in this study follow a normal distribution. Suppose also that the patients can be regarded as a random sample from a large population. Construct the appropriate 99% confidence interval for this study BY HAND (not using R). (Round your answer to 2 places after the decimal, if necessary.) 99% Confidence Interval:
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