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Demand-pull inflation
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.
Reject
In statistical analysis, to refuse the null hypothesis based on the evidence provided by the test statistic.
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