Learn why choosing the right significance level (alpha) is critical beyond p-values. Avoid costly false positives/negatives in medical trials, business decisions & scientific research. Practical guide for interpreting results with effect sizes and confidence intervals.

Comprehensive guide to probability of Type 1 error (false positives) in statistical testing. Learn how alpha levels, multiple testing, and data dredging affect error rates, with real-world examples from pharmaceuticals and tech. Includes control strategies, industry benchmarks, and ethical considerations for researchers.