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dkb
dkb
29.07.2019 • 
Mathematics

Criminal investigators use biometric matching for fingerprint recognition, facial recognition, and iris recognition. when matching fingerprints, each subject is given a mean match score for how well their fingerprint matches the given fingerprint, based on different criteria. there are six criteria used to calculate the match score. the mean match score used by a particular police department is 80. if the police department finds a higher match score than this number, they consider the person a fingerprint match and a suspect in the crime. the null hypothesis is that the mean match score is 80. the alternative hypothesis is that the mean match score is greater than 80. is the following a type i error or a type ii error or neither? the test shows that the mean match score is more than 80 when the person does not actually have a fingerprint match.

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