![]() ![]() The main properties of a one sample z-test for two population means are:ĭepending on our knowledge about the "no effect" situation, the z-test can be two-tailed, left-tailed or right-tailed The null hypothesis is a statement about the population means, corresponding to the assumption of no effect, and the alternative hypothesis is the complementary hypothesis to the null hypothesis. The test has two non-overlapping hypotheses, the null and the alternative hypothesis. More specifically, we are interested in assessing whether or not it is reasonable to claim that the two population means the population means \(\mu\)Īre equal, based on the information provided by the samples. So you can better use the results delivered by this solver: A z-test for two means is a hypothesis test that attempts to make a claim about the population means (\(\mu_1\) and \(\mu_2\)). ![]()
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