can anyone explain z-scores please??
normalized values for a data set
you can make a nice bell curve out of a data set
The z-score basically tells you how many std deviations you are from the mean z = x-mean/stdev
mhm i get that much. its the algebraic part - the steps that i have trouble with. the entire thing equals one, yes?
yes the area under the entire bell curve is 1. the area under the curve from z-scores -1 to 1 is about 0.68 the area under the curve from z-scores -2 to 2 is about 0.95 the area under the curve from z-scores -3 to 3 is about 0.99
Example: say you have a bunch of data with mean = 10, std deviation = 2 z =(x-10)/2 say x = 6 and 14 z = (6-10)/2 = -2 , z = (14-10)/2 = 2 The probability of finding a data point between 6 and 14 is 95%
ohh ok. thanks! that makes sense :) math is not a strong suit.... the example helps too
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