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Mathematics 9 Online
OpenStudy (anonymous):

What is the means-to-MAD ratio of the two data sets, expressed as a decimal? Data set Mean Mean absolute deviation (MAD) 1 4.3 1 2 4.9 1.2

OpenStudy (anonymous):

absolute mean deviation

OpenStudy (anonymous):

@dan815 @Michele_Laino

OpenStudy (anonymous):

@amistre64

OpenStudy (amistre64):

i spose i could look up what MAD is, but i simply dont have enough experience with it to offer much help. what are your thoughts for a solution process?

OpenStudy (anonymous):

maybe i need to find the mean

OpenStudy (anonymous):

@SolomonZelman

OpenStudy (amistre64):

an a to b ratio is written as: a:b but im not sure if thats just too simple for this or if they question is asking something else

OpenStudy (anonymous):

@mathstudent55

OpenStudy (anonymous):

i don't think thats what they are asking

OpenStudy (amistre64):

i see a MAD/mean setup on the google

OpenStudy (anonymous):

Isn't it 6 to 0.1?

OpenStudy (anonymous):

looks like it?

OpenStudy (amistre64):

http://www.forecastpro.com/Trends/forecasting101August2011.html MAD/Mean Ratio. The MAD/Mean ratio is an alternative to the MAPE that is better suited to intermittent and low-volume data. [P]ercentage errors cannot be calculated when the actual equals zero and can take on extreme values when dealing with low-volume data. These issues become magnified when you start to average MAPEs over multiple time series. The MAD/Mean ratio tries to overcome this problem by dividing the MAD by the Mean -- essentially rescaling the error to make it comparable across time series of varying scales. The statistic is calculated exactly as the name suggests --it is simply the MAD divided by the Mean.

OpenStudy (amistre64):

thats the best i got for this ....

OpenStudy (anonymous):

well thanks

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