T Test Vs Z Test. Here s an example to understand a one sample t test. We use the sample standard deviation instead of population standard deviation in this case.
The t test is used to compare the mean of two given groups. On the contrary z test relies on the. A t test is used when parameters like the standard deviation of the population are not known.
The sample follows the gaussian distribution.
The sample follows the gaussian distribution. The t test is based on student s t distribution. Here s an example to understand a one sample t test. This is basically saying that the population proportions for example male and female should both be.
