Why is it important to determine if the underlying assumptions in a statistic are met? O Because if not, the chosen statistic may not be appropriate for the study and therefore the results may not be accurate. Because when selecting the variables, there are things that are not known but need to be included. O Because without determining this, the sample size cannot be determined. O Because if not, the number of appropriate variables measured in a given statistical analysis cannot be known.

MATLAB: An Introduction with Applications
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Author:Amos Gilat
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Chapter1: Starting With Matlab
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Why is it important to determine if the underlying assumptions in a statistic are met?
Because if not, the chosen statistic may not be appropriate for the study and therefore the results may not be
accurate.
Because when selecting the variables, there are things that are not known but need to be included.
Because without determining this, the sample size cannot be determined.
Because if not, the number of appropriate variables measured in a given statistical analysis cannot be known.
Transcribed Image Text:Why is it important to determine if the underlying assumptions in a statistic are met? Because if not, the chosen statistic may not be appropriate for the study and therefore the results may not be accurate. Because when selecting the variables, there are things that are not known but need to be included. Because without determining this, the sample size cannot be determined. Because if not, the number of appropriate variables measured in a given statistical analysis cannot be known.
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