Signal services for binary options
For the hypothetical decision maker, all 10 Binomial tests come out significant and in favor of KT-V4. This type of analysis, while taking some quantitative information into account, is problematic nonetheless: Since this analysis involved 10 distinct Binomial tests, Type-I errors may proliferate, i.we may accumulate false significant results. A Bonferroni correction would, instead, reduce the power dramatically. The second problem arises when we move from testing a single prediction to multiple predictions (we will later consider 12 distinct predictions, KT-V1 through KT-V12).