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A Type I error is committed when we:
Covariance
A measure indicating the extent to which two variables change in tandem. It shows whether increases in one variable correspond with increases (positive covariance) or decreases (negative covariance) in the other one.
Pearson Correlation
A measure of the linear correlation between two variables, represented by a value between -1 and 1.
Null Hypothesis
Re-stated: The hypothesis that assumes no real effect, variance, or difference within the scope of the experimental and observational study parameters.
Covariance
A measure indicating the extent to which two random variables change in tandem.
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