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Learn about the misuse of hypothesis testing through p-hacking and other statistical malpractices in this 19-minute educational video. Explore how researchers can manipulate data analysis, either accidentally or intentionally, to produce misleading results that appear statistically significant. Discover the definition and various forms of p-hacking, examine real-world examples of spurious correlations that demonstrate how unrelated variables can appear connected, and follow along with a code demonstration showing how stopping data collection at convenient points can skew results. Gain critical insights into recognizing and avoiding these common statistical pitfalls that undermine the integrity of research and data analysis.
