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The default Confidence Level has been set to 95%. This is the same for both tests.

As for the Bayesian test, the Region of Practical Equivalence (ROPE) on the Effect size around the null value has been set by default to [-0.1, 0.1].

The null value is declared to be rejected if the 95% Highest Density Interval (HDI) falls completely outside the ROPE.


You can use Window | Preferences | Tools | Statistical Tools the Preferences Image Added to modify:

  • the confidence level (for both the t-test and BEST),
  • the Monte Carlo Markov Chain parameters that are used for inference in the Bayesian network described above,
  • the ROPE size that defines an interval centered at 0, i.e. 0.2 defines the interval [-0.1, 0.1]
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We first select Prod3 and ProdG5. Upon checking Null Value Assessment, the computation of both tests is triggered.

When the mean values are estimated as significantly different, a square is added next to the label:

  • for t-test
  • for BEST