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For 100-percent availability,online transaction processing requires:
Statistical Significance
Indicates that the observed results are unlikely to have occurred by chance, according to a predefined level of significance.
Type I Error
The statistical mistake of rejecting a true null hypothesis, also known as a "false positive."
Type II Error
The error that occurs when one fails to reject a false null hypothesis, also known as a false negative.
Power
The probability that a statistical test will correctly reject a false null hypothesis, or the test's sensitivity to detecting an effect.
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