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Variance is: O a statement that asserts the status quo; that is, any change from what has been thought to be true is due to random sampling order. O an empirically testable statement that is an unproven supposition developed in order to explain certain phenomena. O a statement that is the opposite of the null hypothesis. O the average squared deviations about the mean of a distribution of values. the error made by rejecting the null hypothesis when it is true.

Variance is: O a statement that asserts the status quo; that is, any change from what has been thought to be true is due to random sampling order. O an empirically testable statement that is an unproven supposition developed in order to explain certain phenomena. O a statement that is the opposite of the null hypothesis. O the average squared deviations about the mean of a distribution of values. the error made by rejecting the null hypothesis when it is true.

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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Variance is: O a statement that asserts the status quo; that is, any change from what has been thought to be true is due to random sampling order. O an empirically testable statement that is an unproven supposition developed in order to explain certain phenomena. O a statement that is the opposite of the null hypothesis. O the average squared deviations about the mean of a distribution of values. O the error made by rejecting the null hypothesis when it is true.
Transcribed Image Text:Variance is: O a statement that asserts the status quo; that is, any change from what has been thought to be true is due to random sampling order. O an empirically testable statement that is an unproven supposition developed in order to explain certain phenomena. O a statement that is the opposite of the null hypothesis. O the average squared deviations about the mean of a distribution of values. O the error made by rejecting the null hypothesis when it is true.
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