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Each variable will be compared to the same Test Value.ī Test Value: The hypothesized population mean against which your test variable(s) will be compared.Ĭ Estimate effect sizes: Optional. You may run multiple One Sample t Tests simultaneously by selecting more than one test variable. Move variables to the Test Variable(s) area by selecting them in the list and clicking the arrow button.Ī Test Variable(s): The variable whose mean will be compared to the hypothesized population mean (i.e., Test Value). All of the variables in your dataset appear in the list on the left side. The One-Sample T Test window opens where you will specify the variables to be used in the analysis. To run a One Sample t Test in SPSS, click Analyze > Compare Means > One-Sample T Test. An inspector wants to test if samples taken from units in an apartment building exceed the clearance level. The United States Environmental Protection Agency (EPA) sets clearance levels for the amount of lead present in homes: no more than 10 micrograms per square foot on floors and no more than 100 micrograms per square foot on window sills ( as of December 2020).A plant manager wants to test a random sample of bottles to ensure that the machines are not under- or over-filling the bottles. A particular factory's machines are supposed to fill bottles with 150 milliliters of product.

Test values may come from a literature review, a trusted research organization, legal requirements, or industry standards. In a One Sample t Test, the test variable's mean is compared against a "test value", which is a known or hypothesized value of the mean in the population. The variable used in this test is known as: The One Sample t Test is a parametric test.

The One Sample t Test examines whether the mean of a population is statistically different from a known or hypothesized value.