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Note that QT est is also designed to avoid the proliferation of Type-I errors that a series of separate Binomial tests creates, since it tests all constraints of a given probability model jointly in one test.

The modal choice test is also useful for the quantitative decision scientist: Since the modal choice prediction is rejected for DM1, we can conclude that constant error models and a very general class of econometric models of. Table 2 illustrates two more QT est analyses for KT-V4. However, both DM1 and DM13 reject that Null Hypothesis with small p-values.