  The experimental evaluation of the methods and concepts covered in software
engineering has been increasingly valued. This value indicates the constant
search for new forms of assessment and validation of the results obtained in
Software Engineering research. Results are validated in studies through
evaluations, which in turn become increasingly stringent. As an alternative to
aid in the verification of the results, that is, whether they are positive or
negative, we suggest the use of statistical methods. This article presents some
of the main statistical techniques available, as well as their use in carrying
out the implementation of data analysis in experimental studies in Software
Engineering. This paper presents a practical approach proving statistical
techniques through a decision tree, which was created in order to facilitate
the understanding of the appropriate statistical method for each data analysis
situation. Actual data from the software projects were employed to demonstrate
the use of these statistical methods. Although it is not the aim of this work,
basic experimentation and statistics concepts will be presented, as well as a
concrete indication of the applicability of these techniques.
