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Following a bone fracture,the most likely event to occur is
Alpha
A threshold value in hypothesis testing that determines the level of significance, usually set to 0.05 or 0.01.
Type I Error
An error in hypothesis testing that occurs when the null hypothesis is wrongly rejected, falsely indicating a significant result.
Two-tailed Hypothesis
A hypothesis test that considers both directions of an effect, allowing for the possibility of difference in either direction from the null hypothesis.
Critical Values
Specific points on the scale of a test statistic beyond which we reject the null hypothesis, crucial in hypothesis testing to determine the significance of the results.
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