![]() T test exampleIn your test of whether petal length differs by species: If you want to know whether one population mean is greater than or less than the other, perform a one-tailed t test.If you only care whether the two populations are different from one another, perform a two-tailed t test.If there is one group being compared against a standard value (e.g., comparing the acidity of a liquid to a neutral pH of 7), perform a one-sample t test.If the groups come from two different populations (e.g., two different species, or people from two separate cities), perform a two-sample t test (a.k.a.If the groups come from a single population (e.g., measuring before and after an experimental treatment), perform a paired t test.One-sample, two-sample, or paired t test? When choosing a t test, you will need to consider two things: whether the groups being compared come from a single population or two different populations, and whether you want to test the difference in a specific direction. The alternate hypothesis ( H a) is that the true difference is different from zero.The null hypothesis ( H 0) is that the true difference between these group means is zero. ![]() You can test the difference between these two groups using a t test and null and alterative hypotheses. You find two different species of irises growing in a garden and measure 25 petals of each species. t test exampleYou want to know whether the mean petal length of iris flowers differs according to their species. It is often used in hypothesis testing to determine whether a process or treatment actually has an effect on the population of interest, or whether two groups are different from one another. ![]() Try for free An Introduction to t Tests | Definitions, Formula and ExamplesĪ t test is a statistical test that is used to compare the means of two groups. ![]() Eliminate grammar errors and improve your writing with our free AI-powered grammar checker. ![]()
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