Statistical significance testing is perilous, but there are ways to mitigate the risk. First, understand the potential mistakes that can be made (Type 1 and Type 2 errors).

Significance testing is philosophically and scientifically based, and it identifies which of many differences between treatments (conditions, interventions, etc.) are worth pursuing. In marketing research, the significance level 95% has been used as a universal benchmark, should it be?