Statistical Significance Pitfalls

Summary

Common ways statistics gets misused in practice — p-hacking, multiple comparisons without correction, and treating a significant result as automatically important or actionable.

• 1Learn what 'p-hacking' means and why running many tests inflates false positives.
• 2Understand the difference between statistical significance and practical significance.
• 3Practice questioning a 'statistically significant' claim you see in the wild.