T Test Vs Z Test. The t test can be understood as a statistical test which is used to compare and analyse whether the means of the two. The sample follows the gaussian distribution.
The difference from the z test is that we do not have the information on population variance here. We can calculate the t statistics by the given formula. The difference between t test and z test can be drawn clearly on the following grounds.
The t test is used to compare the mean of two given groups.
On the contrary z test relies on the. The dataset can be downloaded from here. However you need to check that np 0 and n 1 p 0 are both greater than 10 where n is your sample size and p 0 is your hypothesized population proportion. On the contrary z test relies on the.
