T Test Vs Z Test Statistics. On the contrary z test relies on the. So there s two major scenarios that we will see in an introductory statistics class one is when we are dealing with proportions so i ll write that on the left side right over here.
When you re working on a statistics word problem these are the things you need to look for. The t test can be understood as a statistical test which is used to compare and analyse whether the means of the two. Z test is the statistical hypothesis which is used in order to determine that whether the two samples means calculated are different in case the standard deviation is available and sample is large whereas the t test is used in order to determine a how averages of different data sets differs from each other in case standard deviation or the variance is not known.
A t test is used when parameters like the standard deviation of the population are not known.
You have the options of z score t statistic f statistic and chi squared and it s. A t test is used for testing the mean of one population against a standard or comparing the means of two populations if you do not know the populations standard deviation and when you have a limited sample n 30. T x1 x2 σ n1 σ n2. We use the sample standard deviation instead of population standard deviation in this case.
