Examlex
The process of using sample statistics to draw conclusions about true population parameters is called
Type I Error
The incorrect rejection of a true null hypothesis, often referred to as a "false positive" finding in hypothesis testing.
Type II Error
The error that occurs when the null hypothesis is wrongly accepted, failing to detect an effect or difference when there is one.
Testing Agency
An organization or body that performs standard tests or assessments on products, services, or individuals to ensure compliance with required specifications, standards, or regulations.
Level Of Significance
A threshold in hypothesis testing that defines the probability of rejecting a true null hypothesis, commonly set at 0.05 or 5%.
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