For the purposes of constructing modified boxplots, outliers are defined as data values that are above Q, by an amount greater than 1.5×1QR or below Q, by an amount greater than 1.5×1QR, where IQR is the interquartile range. Using this definition of outliers, find the probability that when a value is randomly selected from a normal distribution, it is an outlier. The probability that a randomly selected value taken from a normal distribution is considered an outlier is (Round to four decimal places as needed.)

For the purposes of constructing modified boxplots, outliers are defined as data values that are above Q, by an amount greater than 1.5×1QR or below Q, by an amount greater than 1.5×1QR, where IQR is the interquartile range. Using this definition of outliers, find the probability that when a value is randomly selected from a normal distribution, it is an outlier. The probability that a randomly selected value taken from a normal distribution is considered an outlier is (Round to four decimal places as needed.)

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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For the purposes of constructing modified boxplots, outliers are defined as data values that are above $Q_3$ by an amount greater than $1.5 \times IQR$ or below $Q_1$ by an amount greater than $1.5 \times IQR$, where IQR is the interquartile range. Using this definition of outliers, find the probability that when a value is randomly selected from a normal distribution, it is an outlier.

The probability that a randomly selected value taken from a normal distribution is considered an outlier is $\_\_\_\_$. (Round to four decimal places as needed.)

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