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Z-test is a statistical test where normal distribution is applied and is basically used for dealing with problems relating to large samples when n â¥ 30. Don't miss these related articles: 1  1 ANOVA.
On the other hand, the Z test is a statistical procedure used to test an alternative hypothesis against a null one. This test, as you might expect, is constructed using the Z score. It is a test that is independent of the sample size (since it is based on a normalized score). The test assumes that under the null the distribution is normal and uses 1.96 as a comparison value (for a 95% value of [math]\alpha[/math]