The coefficient of variation for a)0.394 b)0.850 c)0.523 if standard deviation values are a $ 2,710 $ 1,070 b 2,140 1,820 c 2,160 1,130
The coefficient of variation as compared to standard deviation is a factual proportion of the scattering of data of interest around the mean. The measurement is usually used to analyze the information scattering between particular series of information.
Dissimilar to the standard deviation that must continuously be viewed as with regards to the mean of the information, the coefficient of variation tells a somewhat straightforward and fast instrument to look at changed information series.
We know very well that coefficient of variation is defined as the ratio of standard deviation to the expected value, or in other words
Coefficient of variation=standard deviation/expected value
a)Standard deviation value=$1,070 and expected value is $2,710
Therefore, coefficient of variation=(1070/2710)=0.394
b)Standard deviation value=$1,820 and expected value is $2,140
Therefore, coefficient of variation=(1820/2140)=0.850
c)Standard deviation value=$1130 and expected value is $2,160
Therefore, coefficient of variation=(1130/2160)=0.523
Hence, coefficient of variation value is a)0.394 b)0.850 c)0.523
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