Test distribution parameters for Parametric Distribution Analysis (Right Censoring)

Stat > Reliability/Survival > Distribution Analysis (Right Censoring) > Parametric Distribution Analysis > Test

Use to test whether a distribution parameter for a sample differs from a specified value, or whether a distribution parameter differs for two or more samples. You can only use these options when you select Maximum Likelihood from Estimation Method on the Estimate sub-dialog box.

Consistency of Sample with Value

Test whether parameters equal a specified value or values. The values can be the parameters of the historical distribution, such as those that were determined from previous studies. Therefore, you may test the hypothesis that the new data comes from the same population (same distribution) as the data collected in previous studies.

Test shape (slope-Weibull) or scale (1/slope-other dists) equal to: Enter a test value to compare with the shape (Weibull) or scale (other distributions) of the sample.
Test scale (Weibull or expo) or location (other dists) equal to: Enter a test value to compare with the scale (Weibull or exponential) or location (other distributions) of the sample.
Test threshold equal to: Enter a test value to compare with the threshold of the sample.

Note

For multiple samples, the test simultaneously evaluates whether all of the parameters equal the value that you enter.

Equality of Parameters

If you want to test whether two or more samples come from the same population, select the first two options for 2-parameter distributions, and select all three options for 3-parameter distributions.

Test for equal shape (slope-Weibull) or scale (1/slope-other distributions): Test whether two or more samples have the same shape or scale.
Test for equal scale (Weibull or expo) or location (other distributions): Test whether two or more samples have the same scale or location.
Test for equal threshold: Test whether two or more samples have the same threshold.