Please Respond to the following post with a paragraph, add citations and references.

Both Z-test and T-test are statistical hypothesis tests. The Z-test is a statistical test used to determine whether two population means are different when the variances are known, and the sample size is large, the standard deviation is unknown while z-tests assume that it is known. Z-test has a single critical value which makes it more convenient than the t-test which has separate critical values for each sample size. A T test is normally used to test the mean of one population against its standard deviation. It can also be used to compare means of two population.

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.

Reference

Difference between.Net, (2010).

Retrieved from www.differencebetween.net/miscellaneous/difference-between-z-test-and-t-test/ October 8, 2018

Do you need a similar assignment done for you from scratch? We have qualified writers to help you. We assure you an A+ quality paper that is free from plagiarism. Order now for an Amazing Discount!
Use Discount Code "Newclient" for a 15% Discount!

NB: We do not resell papers. Upon ordering, we do an original paper exclusively for you.