Tag: Statistical Significance
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Type 1 and Type 2 Errors
In statistics, Type 1 and Type 2 errors relate to inaccurate conclusions in tests. Type 1 is a false positive, rejecting a true idea, while Type 2 is a false negative, accepting a false idea. Balancing these errors is essential for valid study results.