Interpreting ECDFs and the story

While a more detailed analysis of distributions is often warranted for careful analyses, you can already get a feel for the distributions and the story behind the data by eyeballing the ECDFs. Which of the following would be the most reasonable statement to make about how the active bout lengths are distributed and what kind of process might be behind exiting the active bout to rest?

If you need a refresher, you can watch videos from Statistical Thinking in Python (Part 1) about stories behind probability distributions.

• Discrete Uniform and Binomial
• Poisson processes and Poisson distribution
• Normal distribution
• Exponential Distribution