In practice, there are a lot of factors that can affect the expected final outcome of machining processes. That is why during last decades a great number of experimental studies have been made for improving this kind of processes. As the realization of the tests for taking into account factors such as machines, materials, tools and cutting conditions requires resources of different types and can provoke environmental damage at different levels, diverse methods of experimental design and statistical analysis have been developed looking for efficient experimentation. This paper is focused on the study of these statistical methods. It collects the principal types of experimental designs and statistical procedures used in experimental studies for the control and the improvement of machining processes. Additionally, the review and analysis of the main works on the machining processes area for each one of these statistical tools has been made.