Q-Q plots
The Q-Q plots procedure produces probability plots for transformed values. Available test distributions include beta, chi-square, exponential, gamma, half-normal, Laplace, Logistic, Lognormal, normal, pareto, Student's t, Weibull, and uniform. Depending on the distribution selected, you can specify degrees of freedom and other parameters.
- You obtain probability plots for transformed values. Transformation options include natural log, standardize values, difference, and seasonally difference.
- You can specify the method for calculating expected distributions and for resolving "ties" (multiple observations with the same value).
Obtaining Q-Q plots
This feature requires Statistics Base Edition.
- From the menus choose:
- Click Select variables under the Variables section, select one or more categorical or quantitative variables, and then click OK.
- Optionally, you can expand the Additional settings
menu and select the following options:
- Click Test distribution to select test and distribution parameters.
- Click Options to select transformation options to obtain probability plots for transformed values and specify a method for calculating expected distributions.
- Click Run analysis.