MCQ on Coefficient of Variation




The coefficient of variation is a valuable statistical tool for comparing relative variability between datasets with different units. It helps researchers and analysts understand the consistency and dispersion of data, especially when dealing with diverse measurements or when comparing processes or treatments. This MCQ on Coefficient of Variation will help you to understand the concept and applications of CV in biological research

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The coefficient of variation (CV) is a measure of relative variability and is expressed as a percentage. It is calculated as:

The coefficient of variation is used to compare the variability of two or more datasets with different units. True or False?

A dataset with a CV of 10% has higher relative variability than a dataset with a CV of 5%. True or False?

The coefficient of variation is particularly useful when comparing the variability of datasets with:

If the mean of a dataset is 50 and the standard deviation is 10, what is the coefficient of variation?

Which dataset has a higher relative variability: Dataset A with a mean of 30 and a standard deviation of 5, or Dataset B with a mean of 40 and a standard deviation of 6?

The coefficient of variation is insensitive to changes in the units of measurement. True or False?

A dataset with a coefficient of variation of 0% implies that:

In quality control, the coefficient of variation is used to assess the consistency of a manufacturing process. A lower CV indicates:

When comparing the dispersion of two datasets, if the coefficient of variation for Dataset A is higher than that of Dataset B, what can be concluded?



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