One-Sample T Test
This feature requires the Statistics Base option.
The One-Sample T Test procedure tests whether the mean of a single variable differs from a specified constant.
Examples. A researcher might want to test whether the average IQ score for a group of students differs from 100. Or a cereal manufacturer can take a sample of boxes from the production line and check whether the mean weight of the samples differs from 1.3 pounds at the 95% confidence level.
Statistics. For each test variable: mean, standard deviation, and standard error of the mean. The average difference between each data value and the hypothesized test value, a t test that tests that this difference is 0, and a confidence interval for this difference (you can specify the confidence level).
One-Sample T Test Data Considerations
Data. To test the values of a quantitative variable against a hypothesized test value, choose a quantitative variable and enter a hypothesized test value.
Assumptions. This test assumes that the data are normally distributed; however, this test is fairly robust to departures from normality.
To Obtain a One-Sample T Test
This feature requires the Statistics Base option.
- From the menus choose:
- Select one or more variables to be tested against the same hypothesized value.
- Enter a numeric test value against which each sample mean is compared.
- Optionally, click Options to control the treatment of missing data and the level of the confidence interval.
This procedure pastes T-TEST command syntax.