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The wealth effect, interest-rate effect, and exchange-rate effect are all explanations for
Alpha
A threshold value used in hypothesis testing that determines the level of significance, often set at 0.05.
Type I Error
A Type I error occurs in hypothesis testing when a true null hypothesis is incorrectly rejected, falsely indicating a significant effect or difference when there is none.
Significance Level
The probability of rejecting the null hypothesis in a statistical test when it is actually true, typically denoted as alpha.
P < .01
Indicates that the probability of the observed data occurring by chance is less than 1%, suggesting strong evidence against the null hypothesis.
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