can someone help me understand the different parts of Mean Absolute Deviation???
\[MAD = \frac{ \Sigma |x - \overline{x}| }{ N }\]
what does the |x - \(\overline{x}\)| mean? N? \(\overline{x}\)???
\(\Sigma\)?
I know what they mean somewhat
@dan815
this may help you a little, im not sure though. it heled me http://www.mathsisfun.com/data/mean-deviation.html
http://www.glencoe.com/sites/pdfs/impact_math/ls9_c1_mean_absolute_deviation.pdf here this is better
basically, just find the mean of the data given, then you find the range from each number in the set to the mean.. after that, find the mean of those new numbers
ah that helps. i am getting an example set and seeing if I got it
alright , feel free to ask any questions that you have. i can try more to help you understand, if needed that is
:)
So is the formula \(MAD = \dfrac{ \Sigma |x - \overline{x}| }{ N }\) or \(MAD = \dfrac{ \Sigma |x - \mu | }{ N }\)
ive usually seen it as the first way
same
here ill just give you a problem to see if you can do mean absolute deviation ok? itll be VERY simple
i am guessing they are the same :)
they are im sure
oooh and \(\sigma\) is standard deviation
yes
used in \(\sigma=\sqrt{\Sigma \dfrac{(x-\overline{x})^2}{N}}\)
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