Nechemia K. answered 04/24/15
Tutor
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The z-score table tells you, for each value, how much of the data lies behind that point. So if we're looking for a value which 57% is above, we are really looking to find the value for which 43% is behind, meaning the z-score is .43. So, we need to find the z-score which gets you .43.
THE PROBLEM is that z-score table starts from .5, so where's .43?
Well, the reason why z-scores start from .5 is because it only deals with positive values of the normal distribution. Everything below .5 is a negative, so we know that .43 is somewhere in the "negative zone".
How can we find a value in the "negative zone"?
The relationship between negative and positive z-scores is as follows:
z(-a) = x
z(a) = 1- x
So, if we're looking for z-score (-A) which gets you .43, we are looking for the z-score (A) which gets you 1-.43 =.57
Find the z-score which gets you .57, make it a negative, and, boom, there's our z-score for .43.
Let's try it:
z(.18) = .57
therefore,
z(-.18) = .43
The z-score is -.18.
Look over a graph of the normal distribution and this idea will become more clear. Remember, the z-score chart only kicks in half way through, at the center of the graph.