Examlex
Which of the following is not considered effective in achieving and maintaining service quality?
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."
Alpha
In statistics, often refers to the significance level used in hypothesis testing, typically set at 0.05 or 0.01, representing the probability of incorrectly rejecting the null hypothesis.
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