![]() The p-value is the probability of obtaining sample results as extreme or more extreme than the sample results obtained, under the assumption that the null hypothesis is true The main principle of hypothesis testing is that the null hypothesis is rejected if the test statistic obtained is sufficiently unlikely under the assumption that the null hypothesis The main properties of a one sample z-test for two population proportions 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 parameter which indicates no effect, and the alternative hypothesis is the complementary hypothesis to the null hypothesis. What are the null and alternative hypotheses for the z-test for two proportions? The Z-test for two proportions has two non-overlapping hypotheses, the null and the alternative hypothesis. Specifically, we are interested in assessing whether or not it is reasonable to claim that p So you can better understand the results yielded by this solver: A z-test for two proportions is a hypothesis test that attempts to make a claim about the population proportions p ![]() When Do You Use a Z-test for Two Proportions?
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