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Two types of anti-anxiety medications remain in the bloodstream for many hours. Independent simple random samples of 18 subjects who were administered Type A and 10 subjects that were administered Type B were selected. You can assume that the time-in-bloodstream for both drugs is normal and that the times were measured in hours. Sample Size Mean StDev I1-80 81-4.5 T2-70 82-5.5 Type A n1-18 Type B n2-10 Let Ha be the population mean amount of time that Type A medication remains in the bloodstream and let HB be the population mean amount of time that Type B medication remains in the bloodstream. Note: Be sure to use at least four decimal places in all intermediate calculations. Round all of your final answers to two decimal places. Compute the 99% confidence interval estimating the difference between uA and µB by completing the steps below. The standard error is SE(I1 – I2) - The critical value from the t-distribution for a confidence interval of 99% is: t* = The margin of error is: m =

Two types of anti-anxiety medications remain in the bloodstream for many hours. Independent simple random samples of 18 subjects who were administered Type A and 10 subjects that were administered Type B were selected. You can assume that the time-in-bloodstream for both drugs is normal and that the times were measured in hours. Sample Size Mean StDev I1-80 81-4.5 T2-70 82-5.5 Type A n1-18 Type B n2-10 Let Ha be the population mean amount of time that Type A medication remains in the bloodstream and let HB be the population mean amount of time that Type B medication remains in the bloodstream. Note: Be sure to use at least four decimal places in all intermediate calculations. Round all of your final answers to two decimal places. Compute the 99% confidence interval estimating the difference between uA and µB by completing the steps below. The standard error is SE(I1 – I2) - The critical value from the t-distribution for a confidence interval of 99% is: t* = The margin of error is: m =

MATLAB: An Introduction with Applications
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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Two types of anti-anxiety medications remain in the bloodstream for many hours. Independent simple random samples of 18 subjects who were administered Type A and 10 subjects that were administered Type B were selected. You can assume that the time-in-bloodstream for both drugs is normal and that the times were measured in hours. Sample Size Mean StDev Type A n1-18 Type B n2-10 I1-80 S1-4.5 I2=70 82-5.5 Let HA be the population mean amount of time that Type A medication remains in the bloodstream and let HB be the population mean amount of time that Type B medication remains in the bloodstream. Note: Be sure to use at least four decimal places in all intermediate calculations. Round all of your final answers to two decimal places. Compute the 99% confidence interval estimating the difference between HA and µB by completing the steps below. The standard error is SE(x, - I2) = The critical value from the t-distribution for a confidence interval of 99% is: t* The margin of error is: Confidence interval for A-Up
Transcribed Image Text:Two types of anti-anxiety medications remain in the bloodstream for many hours. Independent simple random samples of 18 subjects who were administered Type A and 10 subjects that were administered Type B were selected. You can assume that the time-in-bloodstream for both drugs is normal and that the times were measured in hours. Sample Size Mean StDev Type A n1-18 Type B n2-10 I1-80 S1-4.5 I2=70 82-5.5 Let HA be the population mean amount of time that Type A medication remains in the bloodstream and let HB be the population mean amount of time that Type B medication remains in the bloodstream. Note: Be sure to use at least four decimal places in all intermediate calculations. Round all of your final answers to two decimal places. Compute the 99% confidence interval estimating the difference between HA and µB by completing the steps below. The standard error is SE(x, - I2) = The critical value from the t-distribution for a confidence interval of 99% is: t* The margin of error is: Confidence interval for A-Up
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