
Suppose we have a distribution
We will find
using the diagram on the left.
This corresponds to a probability of 0.6915 hence![]()
Now we will find
illustrated by the diagram on the left.
Ignoring the minus sign we go to the normal distribution tables and look for the probability corresponding to
finding 0.7422. Because we had a negative value of
we subtract this from 1. We have found
Because the probabilities in the tables are all of the form
We subtract this value from 1 again to obtain![]()
Now we use![]()
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