In statistical inference, we will need the values on the horizontal axis that capture certain small tail areas under the standard normal curve.
notation
will denote the value on the axis for which of the area under the curve lies to the right of . (See Figure 4.19.)
For example, captures upper-tail area .10, and captures upper-tail area .01 .
Figure 4.19 notation Illustrated
Since of the area under the curve lies to the right of , of the area lies to its left. Thus is the th percentile of the standard normal distribution. By symmetry the area under the standard normal curve to the left of is also . The ’s are usually referred to as critical values. Table 4.1 lists the most useful percentiles and values.
Table 4.1 Standard Normal Percentiles and Critical Values
Percentile | 90 | 95 | 97.5 | 99 | 99.5 | 99.9 | 99.95 |
---|---|---|---|---|---|---|---|
(upper-tail area) | 0.1 | 0.05 | 0.025 | 0.01 | 0.005 | 0.001 | 0.0005 |
percentile | 1.28 | 1.645 | 1.96 | 2.33 | 2.58 | 3.08 | 3.27 |