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Type 1 and Type 2 Errors Explained: Differences, Examples, and How to Avoid Them
In statistics and hypothesis testing, errors are inevitable when making decisions based on sample data. Two critical errors—Type 1 (False Positive) and Type 2 (False Negative) play a fundamental role…