Understanding Null Hypothesis Significance Testing (NHST) in Statistics
Null Hypothesis Significance Testing (NHST) is a common method in statistics to determine if a particular value of a parameter can be rejected, such as testing if a coin is fair. This involves calculating probabilities of outcomes and p-values to make decisions. The process relies on defining spaces
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Understanding Magnitude-Based Decisions in Hypothesis Testing
Magnitude-based decisions (MBD) offer a probabilistic way to assess the true effects of experiments, addressing limitations of traditional null-hypothesis significance testing (NHST). By incorporating Bayesian principles and acknowledging uncertainties, MBD provides a robust framework for drawing co
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