Simpson's Paradox: When Data Deceives!

Video by KNOW (KnowNow)

The significance of data analysis and statistics is growing rapidly. Whether it's forecasting the weather, analyzing a company's declining sales, predicting future diplomatic relations between countries, or finding a match between persons on a dating website, vast datasets are being scrutinized to confirm insights. This method is undoubtedly the most objective approach.
However, the question remains: Is your data leading you to accurate conclusions, or is there hidden bias?
One fascinating statistical paradox is Simpson's Paradox, which can sometimes lead to incorrect conclusions. It occurs when a trend appears in several different groups of data but disappears or reverses when these groups are combined.

Content:
00:00 Introduction
00:34 The Simpson's Paradox (Hidden Bias)
01:20 UC Berkeley Gender Bias Case
02:20 NAEP Case
03:15 Conclusion

Video by KNOW (KnowNow)