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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.
Z-test is a statistical hypothesis test that follows a normal distribution while T-test follows a Studentâs T-distribution. 2. A T-test is appropriate when you are handling small samples (n < 30) while a Z-test is appropriate when you are handling moderate to large samples (n > 30). 3. T-test is more adaptable than Z-test since Z-test will often require certain conditions to be reliable.