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If Hong Kong and Taiwan had identical labor costs but were subject to increasing costs of production:
Alpha
In statistics, alpha represents the level of significance, the probability of rejecting the null hypothesis when it is actually true, commonly set at 0.05 or 5%.
Beta
In statistics, it often refers to the probability of making a Type II error, or in finance, a measure of how much a stock's price could move in relation to the market.
Type II Error
A statistical error that occurs when a false null hypothesis is not rejected, implying that a true effect is missed.
Type I Error
A mistake wherein a true null hypothesis is incorrectly rejected, commonly termed as a "false positive."
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