A statistics practitioner does depend heavily on the use of mathematics. But we do not stop with the computed result. We review the sampling process under which the data were taken. Then, we evaluate the validity of the assumed statistical model and make a data transformation, if necessary, to arrive at a better model. Finally, we attempt to provide a sensible interpretation of the final results.
Statistics is a powerful scientific tool.
With proper use, it can greatly assist researchers in analyzing complicated data sets and drawing meaningful conclusions. Under a Convex Loss Function, Ann. Nonparametric Estimation of a Regression Function, Z. Wahrs. Nonparametric Estimation of a Vector-Valued Bivariate Failure Rate, Ann.