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Statistics play a crucial role in biometrics by providing the tools necessary for analyzing and interpreting biometric data, such as fingerprints, facial recognition, and iris scans. Statistical methods are used to assess the accuracy and reliability of biometric systems, including calculating false acceptance and rejection rates. Additionally, statistics help in modeling and improving algorithms that enhance the performance of biometric recognition systems by identifying patterns and variations within the data. Overall, statistical analysis ensures that biometric systems are both effective and secure.

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