Examlex
Ming-Na gets an A on a statistics exam. She believes it was due to luck. This would be an example of ______.
Type I Error
A Type I Error occurs when a true null hypothesis is incorrectly rejected, often referred to as a "false positive."
Type II Error
A statistical error made when failing to reject a false null hypothesis, also known as a false negative.
Null Hypothesis
is a default hypothesis that there is no significant difference or effect.
Alternative Hypothesis
The alternative hypothesis proposes that there is a statistically significant difference between data sets or effects, contrary to the null hypothesis.
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