Statistical treatment in a thesis is a way of removing researcher bias by interpreting the data statistically rather than subjectively. Giving a thesis statistical treatment also ensures that all necessary data has been collected.
Statistical treatment can be applied to qualitative research, such as research investigating the effects of a social policy, and quantitative research, such as chemical experiments. Statistical treatment in qualitative research involves analyzing how the data is represented statistically. For example, mathematical equations can be applied to data to spot similarities, differences and trends. For quantitative research, similar equations can be applied to predict probable outcomes of an experiment and to check the accuracy of an outcome.