This post is for MUH FRIEND. @undeadknight26
Undeadykins, Standard Deviation is this: \[\sigma =\sqrt{\sum_{}^{}}\frac{ (x-\chi)^{2} }{ n }\]
Where...\[\sigma=the~greek~symbol~of~Standard Deviation\]\[\sum_~=the~sun~of..\]\[x=each~data~value\]\[n=the~number~of~data~values\]\[\chi=mean~of~all~the~data~values\]
Hold on a second, pizza is here.
Okay, I'm back @undeadknight26 . And now I am going to show you how to do it: How to Calculate Standard Deviation: 1. Subtract the mean from each data point 2. Square the difference found in step 2 3. Add the squares from Step 2 4. Divide the sum of step 3 by the number of data values 5. Find the square root of the number of step 4.
Okay, brb, I ahve to eat my pizza. ~grr goes my stomach~
lol
I'm stalking you @undeadknight26
:D
Hewo katsa XD I would stalk to you too but then it would be just weird XD
lol You can stalk me too I don't mind :D
from step 1-3 i believe thats called finding the variance:
Oh. Okay @undeadknight26 , I did not know that is what you call it. Lol. :P
XD this post was meaning less XD you start on 6.04 yet?
Hahahahahahahah
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