The heights exhibit a range of values from 55.00 to 88.41 ( Analyze > Descriptive Statistics > Descriptives). In the sample data, we will use the variable Height, which a continuous variable representing each respondent’s height in inches. H 1: µ Height ≠ 66.5 ("the mean height is not equal to 66.5") Before the Test H 0: µ Height = 66.5 ("the mean height is equal to 66.5") The null and alternative hypotheses of this test will be: Let's test if the mean height of students at this college is significantly different than 66.5 inches using a one-sample t test. In our sample data, we have a sample of 435 college students from a single college. adults ages 20 and older is about 66.5 inches (69.3 inches for males, 63.8 inches for females). Click Continue when you are finished making specifications.Īccording to the CDC, the mean height of U.S. If you do not see this option when you use SPSS, check what version of SPSS you're using.)ĭ Options: Clicking Options will open a window where you can specify the Confidence Interval Percentage and how the analysis will address Missing Values (i.e., Exclude cases analysis by analysis or Exclude cases listwise). (Note: Effect sizes calculations for t tests were first added to SPSS Statistics in version 27, making them a relatively recent addition. If checked, will print effect size statistics - namely, Cohen's d - for the test(s). 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.
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