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A coefficient of variation is useful because it:

Correct Answer

C) Expresses dispersion relative to the mean, allowing comparison

Why this is correct: The coefficient of variation (CV) is calculated as (Standard Deviation / Mean) * 100%. It expresses the dispersion (standard deviation) as a percentage of the mean, allowing for comparison of variability between data sets with different units or average values. Why the other choices are wrong: Identifies which observation is the median describes the median's function, not the CV. Converts all of the observed prices into a single index number describes an index, not the CV. Measures the correlation between two variables describes correlation coefficients, not the CV. Exam tip: Remember CV = (Std Dev / Mean). It's for comparing 'spread' across different data sets.

Answer Options
A
Identifies which observation is the median
B
Converts all of the observed prices into a single index number
C
Expresses dispersion relative to the mean, allowing comparison
D
Measures the correlation between two variables

Why This Is the Correct Answer

Why this is correct: The coefficient of variation (CV) is calculated as (Standard Deviation / Mean) * 100%. It expresses the dispersion (standard deviation) as a percentage of the mean, allowing for comparison of variability between data sets with different units or average values. Why the other choices are wrong: Identifies which observation is the median describes the median's function, not the CV. Converts all of the observed prices into a single index number describes an index, not the CV. Measures the correlation between two variables describes correlation coefficients, not the CV. Exam tip: Remember CV = (Std Dev / Mean). It's for comparing 'spread' across different data sets.

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