Times for a surgical procedure are normally distributed. There are two methods. Method A has a mean of 26 minutes and a standard deviation of 4 minutes, while method B has a mean of 30 minutes and a standard deviation of 2.0 minutes. (a) Which procedure is preferred if the procedure must be completed within 25 minutes? multiple choice 1Method AMethod BEither Method (b) Which procedure is preferred if the procedure must be completed within 36.0 minutes? multiple choice 2Method AMethod BEither Method (c) Which procedure is preferred if the procedure must be completed within 34 minutes? multiple choice 3Method AMethod BEither Method

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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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Times for a surgical procedure are normally distributed. There are two methods. Method A has a mean of 26 minutes and a standard deviation of 4 minutes, while method B has a mean of 30 minutes and a standard deviation of 2.0 minutes.

(a) Which procedure is preferred if the procedure must be completed within 25 minutes?

multiple choice 1

Method A
Method B
Either Method

(b) Which procedure is preferred if the procedure must be completed within 36.0 minutes?

multiple choice 2

Method A
Method B
Either Method

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

multiple choice 3

Method A
Method B
Either Method

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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