Single Sample T Test Vs Z Test. One sample t test we perform a one sample t test when we want to compare a sample mean with the population mean. When you re working on a statistics word problem these are the things you need to look for.
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Additionally t test has many methods that will suit any need. N 30 and t test is appropriate when the size of the sample is small in the sense that n 30. Many analysts choose the t procedure over the z procedure anytime s is unknown.
Your variable of interest should be continuous and normally distributed and you should have enough data more than 5 values.
To actually do the significance test is we take a sample from the population it s going to have a sample size of n we need to make sure that we feel good about making the inference we ve talked about the conditions for inference in previous videos multiple times but from this we. The difference from the z test is that we do not have the information on population variance here. Your variable of interest should be continuous and normally distributed and you should have enough data more than 5 values. Proportion problems are never t test problems always use z.
