Understanding p Values
Kyle explains how p values serve as a standard of evidence in statistical tests, distinguishing between random and correlated effects. Linda seeks clarification on the role of p values in determining statistical significance, leading to a discussion on testing real versus random data.In this clip
From this podcast
Data Skeptic
False Discovery Rates
Related Questions
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.
What are some real-world cases of "P value surfing" as discussed in the episode Defending the p-value and the clip Defending the p Value?
What is hypothesis testing in the context of the episode Defending the p-value and the clip Defending the p Value?