One of the benefits of strong statistical background is that it allows researchers to find out whether their null hypothesis is true or false. By having strong statistical background experimenters have better understanding of the results of their experiment, so that they can actually have a better chance of rejecting false null hypothesis, or failing to reject true null hypothesis.
Gaining a strong statistical background is a huge advantage. This is because it allows researchers to eliminate questions and doubts about the research accuracy, or the quality of research, by manipulating the method of the study. In other words it enables researchers to eliminate potential threads to internal validity of the research study.
Strong statistical background can be a strong benefit. This is because sometimes the data on its own, from e.g. SPSS, or charts might not show the full picture of the study. If this is the case the knowledge of the topic, previous researches, theory, as well as new hypothesis might tell the story better. E.g. consumption of ice cream is greater in summer than in the winter (*Ice Cream Franchise Study *). However the data from the SPSS itself will not tell that this might correlate with the weather.