- This video demonstrates how to create and interpret a normal Q-Q plot (quantile-quantile plot) in SPSS. A normal Q-Q Plot is used to determine how well a var...
- Example 10.3: Comparing Weibull Q-Q Plots This example compares the use of three-parameter and two-parameter Weibull Q-Q plots for the failure times in months for 48 integrated circuits. The times are assumed to follow a Weibull distribution.
- Q-Q plots are more convenient than probability plots for graphical estimation of the location and scale parameters because the -axis of a Q-Q plot is scaled linearly. On the other hand, probability plots are more convenient for estimating percentiles or probabilities. There are many reasons why the point pattern in a Q-Q plot may not be linear.

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