Examlex
The standard deviation of the returns on IBM from 1996 to 2005 is closest to:
Type I Error
The error that occurs when a true null hypothesis is incorrectly rejected, falsely indicating a statistically significant effect.
Type I Error
The error of rejecting a true null hypothesis, also known as a "false positive" error.
Type II Error
Failing to detect an effect or difference that exists because the null hypothesis was incorrectly accepted.
α
Alpha (α) is a threshold value used in hypothesis testing to determine the significance level at which the null hypothesis can be rejected.
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