Compute: 
Definitions:
Type I Error
A statistical error occurring when a null hypothesis is wrongly rejected, meaning a false positive result is concluded.
Type II Error
An error that occurs when a false null hypothesis fails to be rejected.
Power Analysis
A statistical technique used to determine the sample size required to detect an effect of a given size with a certain degree of confidence.
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