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The interquartile range is preferable than the variance since there are negative data values The variance can still be used to measure dispersion even though some values are negative. None of the suggested answers are correct The interquartile range is negative since there are negative data values The variance should not be used as a measure of dispersion since it is supposed to be positive but there are more negative data values than positive.

The interquartile range is preferable than the variance since there are negative data values The variance can still be used to measure dispersion even though some values are negative. None of the suggested answers are correct The interquartile range is negative since there are negative data values The variance should not be used as a measure of dispersion since it is supposed to be positive but there are more negative data values than positive.

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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The interquartile range is preferable than the variance since there are negative data values The variance can still be used to measure dispersion even though some values are negative. None of the suggested answers are correct The interquartile range is negative since there are negative data values The variance should not be used as a measure of dispersion since it is supposed to be positive but there are more negative data values than positive.
Transcribed Image Text:The interquartile range is preferable than the variance since there are negative data values The variance can still be used to measure dispersion even though some values are negative. None of the suggested answers are correct The interquartile range is negative since there are negative data values The variance should not be used as a measure of dispersion since it is supposed to be positive but there are more negative data values than positive.
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