Question #e1eee

1 Answer
Nov 27, 2017

Primarily sample size and whether the standard deviation is known or not.


  1. Z-test is a statistical hypothesis test that follows a normal distribution while T-test follows a Student’s 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. Additionally, T-test has many methods that will suit any need.

  4. T-tests are more commonly used than Z-tests.

  5. Z-tests are preferred than T-tests when standard deviations are known.

Read more: Difference Between Z-test and T-test | Difference Between