Probabilistic Decision-Making
The Bonferroni correction is a statistical adjustment used to reduce the chances of obtaining false-positive results when multiple comparisons are being made. It involves dividing the desired significance level (alpha) by the number of tests being performed, ensuring that the overall probability of making a Type I error remains controlled. This method is particularly relevant in scenarios where multiple hypotheses are tested simultaneously, thereby connecting directly to methods like ANOVA and its applications in business research.
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