T Value Vs Z Value. You ll get a different value from z 1 382 than t 1 382. 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.
We perform a one sample t test when we want to compare a sample mean with the population mean. μ is 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.
We use the sample standard deviation instead of population standard deviation in this case.
We find an associated z value for that p for that sample proportion and the way that we calculate it we say okay look our z is. T tests are statistical hypothesis tests that you use to analyze one or two sample means. The rule of thumb applies that your sample size should be above 30 to use it. 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.
