Biometry is a discipline that involves the use of mathematical and statistical theories, principles and applications to solve issues in the natural sciences including biological, environmental, health sciences and agriculture. The fundamental aspect of biometry is the mathematics of probability.
Biometry is necessary for the analysis of large datasets and has been made simple by the presence of computer technology and resources. The primary components of a biometric system are data collection, organization, analysis and drawing conclusions. The experimental design is mostly used in biometric data collection and analysis. In this type of design, treatments are assigned randomly to experimental units in order to reduce bias. Analyzed data are represented graphically or using tables. These are easily produced using available computer software.
Biometry is applied widely in epidemiological studies, design and analysis of clinical trials, ecology and ecological predictions. Besides the academic scope, biometry is applied in human identification technologies such as fingerprinting, facial recognition and iris recognition.
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