Understanding P-Values
Loni explains the concept of p-values in hypothesis testing, emphasizing that the significance level of 0.05 is somewhat arbitrary. The smaller the p-value, the more likely the null hypothesis can be rejected, indicating the drug's effectiveness against a disease.In this clip
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Data Skeptic
Visualizing Uncertainty
Related Questions
What is hypothesis testing in the context of the episode Defending the p-value and the clip Defending the p Value?
How is hypothesis testing used in real life as discussed in the episode False Discovery Rates and the clip Statistical Significance from the episode "Andrew Gelman on Social Science, Small Samples, and the Garden of the Forking Paths"?
I have a question about this episode John Ioannidis on Statistical Significance, Economics, and Replication and this Rethinking Statistical Significance. A researcher is studying mirex contamination in farmed salmon. He first found a 95% confidence interval for the mean concentration to be 0.0834 to 0.0992 parts per million. Later, he rejected the null hypothesis that the mean did not exceed the EPA's recommended safe level of 0.08 ppm based on a P-value of 0.0027. Explain how these two results are consistent, discussing the confidence level, the P-value, and the decision.