Z tests and t tests are formulas used in hypothesis testing. Hypothesis testing is a way to figure out if results from a test are valid and repeatable. Z tests are used when your data is normally distributed, the standard deviation is known, and the sample size is greater than 30. T tests compare the two means of tests and tells you if they are different from each other and how significant the differences are, meaning could they have happened by chance. T tests are more commonly used and do not require the standard deviation be known. I NEED YOU TO COMMENT FROM THIS POST, NO MORE THAN 150 WORDS NEEDED AND A REFERENCE NEEDED.