An experimental design includes subjects measured before and after a particular treatment, the sample population may be very small and purposefully chosen, and it is intended to establish causality between variables.
The methods section of a quantitative study should describe how each objective of your study will be achieved.
Make sure that non-textual elements do not stand in isolation from the text but are being used to supplement the overall description of the results and to help clarify key points being made.
Further information about how to effectively present data using charts and graphs can be found here.
The Structure, Format, Content, and Style of a Journal-Style Scientific Paper." Department of Biology. Quantitative methods presume to have an objective approach to studying research problems, where data is controlled and measured, to address the accumulation of facts, and to determine the causes of behavior.
As a consequence, the results of quantitative research may be statistically significant but are often humanly insignificant.
Quantitative research focuses on numeric and unchanging data and detailed, convergent reasoning rather than divergent reasoning [i.e., the generation of a variety of ideas about a research problem in a spontaneous, free-flowing manner].
When using pre-existing statistical data gathered and made available by anyone other than yourself [e.g., government agency], you still must report on the methods that were used to gather the data and describe any missing data that exists and, if there is any, provide a clear explanation why the missing data does not undermine the validity of your final analysis.
The methodology should be linked back to the literature to explain why you are using certain methods, and the academic basis of your choice.
If you are submitting as a single thesis, then the Methodology should explain what you did, with any refinements that you made as your work progressed.