# Question e1eee

Nov 27, 2017

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

#### Explanation:

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 http://www.differencebetween.net/miscellaneous/difference-between-z-test-and-t-test/ixzz4zbDXUQ8F