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Quantitative research is a research strategy that focuses on quantifying the collection and analysis of data. [1] It is formed from a deductive approach where emphasis is placed on the testing of theory, shaped by empiricist and positivist philosophies.
Engineering statistics involves data concerning manufacturing processes such as: component dimensions, tolerances, type of material, and fabrication process control. There are many methods used in engineering analysis and they are often displayed as histograms to give a visual of the data as opposed to being just numerical.
The sample size is an important feature of any empirical study in which the goal is to make inferences about a population from a sample. In practice, the sample size used in a study is usually determined based on the cost, time, or convenience of collecting the data, and the need for it to offer sufficient statistical power .
Some measure of the undisputed general importance of quantification in the natural sciences can be gleaned from the following comments: "these are mere facts, but they are quantitative facts and the basis of science." [1] It seems to be held as universally true that "the foundation of quantification is measurement." [2]
Uncertainty quantification (UQ) is the science of quantitative characterization and estimation of uncertainties in both computational and real world applications. It tries to determine how likely certain outcomes are if some aspects of the system are not exactly known.
Choosing a research question is an essential element of both quantitative and qualitative research. Investigation will require data collection and analysis, and the methodology for this will vary widely. Good research questions seek to improve knowledge on an important topic, and are usually narrow and specific. [1]
Engineering research - as a branch of science, it stands primarily for research that is oriented towards achieving a specific goal that would be useful, while seeking to employ the powerful tools already developed in Engineering as well as in non-Engineering sciences such as Physics, Mathematics, Computer science, Chemistry, Biology, etc.
Engineering education research gained visibility during the 1980s, although the formal education of engineers in the United States traces back to as early as 1802, with the establishment of the United States Military Academy at West Point for the purpose of training the U.S. Army's corps of engineers.