The method that can "prove" almost anything - James A. Smith
The method that can "prove" almost anything - James A. Smith with tags p hacking, p value, null hypothesis, statistics, statistics analysis, data analysis, statistical significance, statistical significance p value, probability, tea experiment, false positive, low p value, control group, experiment practices, pre register, scientific practices, statistical analysis, misrepresentation of data, misleading data, data, science, education, animation, james a smith, anton bogaty, ted, ted-ed, ted ed, teded, ted education
Explore the data analysis method known as p-hacking, where data is misrepresented as statistically significant.
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In 2011, a group of researchers conducted a study designed to find an impossible result. Their study involved real people, truthfully reported data, and commonplace statistical analyses. So how did they do it? The answer lies in a statistical method scientists often use to try to figure out whether their results mean something, or if they’re random noise. James A. Smith explores p-hacking.
Lesson by James A. Smith, directed by Anton Bogaty.
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