Experimental data
In today's world, Experimental data has become a topic of general interest. With the advancement of technology and globalization, Experimental data has acquired increasing relevance in different areas of society. Whether in the academic, work, social or cultural field, Experimental data has become a topic of constant conversation and debate. The importance of Experimental data has led to numerous studies and research being carried out on it, with the aim of better understanding its impact and finding ways to address it effectively. In this article, we will explore the meaning and importance of Experimental data in the current context, as well as its influence on our daily lives.
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Experimental data in science and engineering is data produced by a measurement, test method, experimental design or quasi-experimental design. In clinical research any data produced are the result of a clinical trial. Experimental data may be qualitative or quantitative, each being appropriate for different investigations.
Generally speaking, qualitative data are considered more descriptive and can be subjective in comparison to having a continuous measurement scale that produces numbers. Whereas quantitative data are gathered in a manner that is normally experimentally repeatable, qualitative information is usually more closely related to phenomenal meaning and is, therefore, subject to interpretation by individual observers.
Experimental data can be reproduced by a variety of different investigators and mathematical analysis may be performed on these data.
See also
References
- NIST/SEMATEK (2008) Handbook of Statistical Methods
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