Probability plot for each accelerating level based on fitted model
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The probability plot displays the percents for each level of the accelerating variable(s) based on the fitted model (line) and a nonparametric model (points). By default, the probability plot includes the shape and scale parameters (Weibull and exponential distributions) or the location and scale parameters (other distributions). These parameters are based on the fitted model. This plot assumes that the observations for each level of the accelerating variable share a common shape (Weibull and exponential distributions) or scale (other distributions).

The probability plot also includes the Anderson-Darling statistic, which is a goodness-of-fit measure. A count of failures and right-censored data appears when your data are exact failures/right-censored.

You can choose to display confidence intervals for the design value(s), for all levels of the accelerating variable(s), or no confidence intervals. For more information on creating and interpreting probability plots see Probability plots.