A drug company has developed a new drug that is designed to reduce high blood pressure. To test the drug, a sample of 15 patients is recruited to take the drug. Their SBP are reduced by an average of 28.3 millimeters, with a standard deviation of 12.0 millimeters. In addition, another sample of 20 patients takes a standard drug. The blood pressure in this group are reduced by an average of 17.1 millimeters with a standard deviation of 9.0 millimeters. Assume that blood pressure reductions are approximately normally distributed with equal variances. Test the new drug is better than the standard drug. Use the a= 0.5Find H0Find HaFind Test Statistic Identify DecisionIdentify Conclusion

Name: A drug company has developed a new drug that is designed to reduce hig
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Description: A drug company has developed a new drug that is designed to reduce high blood pressure. To test the drug, a sample of 15 patients is recruited to take the drug. Their SBP are reduced by an average of 28.3 millimeters, with a standard deviation of 12.

1. Let μ1 denotes the population mean of new drug, and μ2 denotes the population mean of standard…

Answered: A drug company has developed a new drug…

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 drug company has developed a new drug that is designed to reduce high blood pressure. To test the drug, a sample of 15 patients is recruited to take the drug. Their SBP are reduced by an average of 28.3 millimeters, with a standard deviation of 12.0 millimeters. In addition, another sample of 20 patients takes a standard drug. The blood pressure in this group are reduced by an average of 17.1 millimeters with a standard deviation of 9.0 millimeters. Assume that blood pressure reductions are approximately normally distributed with equal variances. Test the new drug is better than the standard drug. Use the a= 0.5

Find H₀

Find Ha

Find Test Statistic

Identify Decision

Identify Conclusion

Features Features Normal distribution is characterized by two parameters, mean (µ) and standard deviation (σ). When graphed, the mean represents the center of the bell curve and the graph is perfectly symmetric about the center. The mean, median, and mode are all equal for a normal distribution. The standard deviation measures the data's spread from the center. The higher the standard deviation, the more the data is spread out and the flatter the bell curve looks. Variance is another commonly used measure of the spread of the distribution and is equal to the square of the standard deviation.

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