Examlex
Which of the following statements is correct?
Type I Error
The error of rejecting a true null hypothesis, also known as a "false positive."
Null Hypothesis
An assertion or proposition in statistics that indicates no significant difference or effect, serving as the default assumption to test against.
Type II Error
The error that occurs when the null hypothesis is falsely accepted, failing to detect an effect or difference when one actually exists.
Null Hypothesis
The hypothesis in statistical analysis that posits no significant difference or relationship exists among groups or variables being studied.
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