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The Code addresses the "battle of the forms" problem by comparing the fine print on each form and eliminating all conflicting terms.
Level of Significance
A criterion for judging the strength of evidence provided by the data against the null hypothesis, often denoted by alpha.
Significance Level
The probability of rejecting the null hypothesis in a statistical test when it is actually true, used to assess the evidence against the null hypothesis.
Type I Error
The error that occurs in hypothesis testing when a true null hypothesis is incorrectly rejected, often referred to as a "false positive."
Population Means
The average of all measurements, values, or quantities in a complete population.
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