T-Test for Single Means - Options tab

Select the Options tab of the T-Test for Single Means dialog box to access options to determine:

  • The detail and formatting of the t-test for single means results spreadsheet,
  • The p-value for highlighting significant values in that spreadsheet.

Reference values

When more than one variable has been selected via the Variables button, use the options in this group box to specify whether to

  • Test all variables against the same hypothesized mean.
  • Test each variable against a different (user-specified) mean.

Test all means against

Select this option button to access the edit field to specify the reference value that performs these tests:

  • Test each variable against the same reference value (or hypothesized mean).
  • Perform a separate test for each variable

    To test the hypothesis that the means for all variables are equal, use ANOVA/MANOVA.

Test means against different user-defined constants

  1. Select this option button to specify different reference values for each t-test (or variable).
  2. Click the Specify button (see description below) to enter the values.

Specify

Click this button to display the Select reference values dialog box, in which you specify a separate reference value for each selected variable.

(The Test means against different user-defined constants option button must be selected for this button to be available.)

Display long variable names

  • Select this check box to display the long variable names (see Variable Specs Editor)
  • Click the Summary button to display the short names in the first column of the results spreadsheet.

(If no long variable names have been specified for any of the selected variables, the setting of this check box has no effect.)

Compute conf. limits; Interval

  • Select this check box to report the confidence limits for the mean of each selected variable in the results spreadsheet (displayed ).
  • Use the Interval field to specify the confidence level to be reported (by defaults 95%).

Multivariate test (Hotelling T2)

Select this check box to add the Hotelling T2 test to the Header of the results spreadsheet (displayed when you click the Summary button).

Details about the Hotelling T2 test:

  • It is a multivariate test for differences in means.
  • It is only computed if more than one variable was selected.
  • It is based on the within-group variance/covariance matrices for the variables. As a result, it automatically excludes missing data casewise from the computations (this test is computed only for cases that have complete data for all selected variables).

p-value for highlighting

The default p-value for highlighting is .05.

Adjust this p-value by entering a new value in the edit box or using the microscrolls.

For more details on p-value, see Elementary Concepts.