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.

Holt Mcdougal Larson Pre-algebra: Student Edition 2012
1st Edition
ISBN:9780547587776
Author:HOLT MCDOUGAL
Publisher:HOLT MCDOUGAL
Chapter11: Data Analysis And Probability
Section11.4: Collecting Data
Problem 2E
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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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