Examlex
Random samples of 4 items are selected from a manufacturing process at regular intervals and a certain quality characteristic is measured. After 25 samples, X = 15,350 and R = 411.4
What is the sample size?
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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