Times for a surgical procedure are normally distributed. There are two methods. Method A has a mean of 33 minutes and a standard deviation of 5 minutes, while method B has a mean of 37 minutes and a standard deviation of 2.5 minutes. (a) Which procedure is preferred if the procedure must be completed within 34 minutes? Method AMethod BEither Method (b) Which procedure is preferred if the procedure must be completed within 43.0 minutes? Either MethodMethod AMethod B (c) Which procedure is preferred if the procedure must be completed within 41 minutes? Method BEither MethodMethod A

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Description: Times for a surgical procedure are normally distributed. There are two methods. Method A has a mean of 33 minutes and a standard deviation of 5 minutes, while method B has a mean of 37 minutes and a standard deviation of 2.5 minutes. (a) Which proced

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MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

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Times for a surgical procedure are normally distributed. There are two methods. Method A has a mean of 33 minutes and a standard deviation of 5 minutes, while method B has a mean of 37 minutes and a standard deviation of 2.5 minutes.

(a) Which procedure is preferred if the procedure must be completed within 34 minutes?

Method A
Method B
Either Method

(b) Which procedure is preferred if the procedure must be completed within 43.0 minutes?

Either Method
Method A
Method B

(c) Which procedure is preferred if the procedure must be completed within 41 minutes?

Method B
Either Method
Method A

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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