Examlex
The quality of a digital image is known as the
Type I Error
A statistical error that occurs when a true null hypothesis is incorrectly rejected.
Type II Error
A statistical error that occurs when a false null hypothesis is not rejected. It represents a miss or a failure to detect an effect or difference that actually exists.
Confidence Coefficient
The degree of certainty or probability that a specified parametric interval will contain the true value of an unknown population parameter.
Power of the Test
The probability that the test will correctly reject a false null hypothesis, essentially reflecting the sensitivity of the test.
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