Understanding Inferential Statistics
Discover the fundamentals of inferential statistics and how it helps us draw conclusions about populations based on sample data. Learn to critically evaluate statistical results by questioning the significance of differences between groups. This episode also highlights the potential for misuse of statistics and encourages listeners to seek clarity in data interpretation.In this clip
From this podcast
The Science of Everything Podcast
Episode 79: Basic Concepts in Statistics
Related Questions
How is hypothesis testing used in real life as discussed in the episode Andrew Gelman on Social Science, Small Samples, and the Garden of the Forking Paths and the clip Statistical Significance Explained?
How is hypothesis testing used in real life as discussed in the episode Andrew Gelman on Social Science, Small Samples, and the Garden of the Forking Paths and the clip Statistical Fallacies?
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.