T Value Vs Z Value. The rule of thumb applies that your sample size should be above 30 to use it. We perform a one sample t test when we want to compare a sample mean with the population mean.
Like z scores t scores are also a conversion of individual scores into a standard form. We perform a one sample t test when we want to compare a sample mean with the population mean. 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.
Depending on the t test that you use you can compare a sample mean to a hypothesized value the means of two independent samples or the difference between paired samples.
You ll get a different value from z 1 382 than t 1 382. 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. The z score and t score tables themselves have different numbers in response to the fact that you can t have as much confidence in the data with a smaller sample size. Depending on the t test that you use you can compare a sample mean to a hypothesized value the means of two independent samples or the difference between paired samples.
