1. Hypothesis Tests for Proportions
The null and alternative hypotheses are stated in terms of  and the sample values become p.
The null hypothesis should include an equality.
The significance level determines the size of the rejection region.
The test can be one- or two-tailed depending on the situation being addressed.

2. Hypothesis Tests for Proportions
z TEST STATISTIC FOR PROPORTIONS
where:
p = Sample proportion
 = Hypothesized population proportion
n = Sample size

3. Hypothesis Tests for Proportions (Example 8-13)
HA :  > 0.01
 = 0.02
 = 0.02
p = 9/600 = 0.015
z = 1.25
za = z.02 = 2.05
Since z < z.02 or
1.35 < 2.05,
do not reject H0