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The most commonly used arrays in business applications are three-dimensional.
Significance Level
The likelihood of incorrectly dismissing the null hypothesis in a statistical analysis, commonly represented by alpha, when it is in fact correct.
Type I Error
The mistake of rejecting the null hypothesis when it is actually true, commonly referred to as a "false positive" result.
Alpha (α)
A pre-specified significance level in hypothesis testing, representing the probability of making a Type I error, or falsely rejecting the null hypothesis.
Hypothesis Test
A statistical method used to determine if there is enough evidence in a sample of data to infer that a certain condition holds true for the entire population.
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