![]() ![]() 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 is true ![]() The main properties of a one sample z-test for one population mean 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 mean, under 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. So you can better interpret the results obtained by this solver: A z-test for one mean is a hypothesis test that attempts to make a claim about the population mean (\(\mu\)). How to Conduct a Z-Test for One Population Mean? ![]()
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