# Difference between binomial cdf and pdf

Why is the Fibonacci series used in difference between binomial cdf and pdf planning poker? 35a7 7 0 1 1 1. 9 2 2 2h16a2 2 0 0 0 2-2v-4. 44A2 2 0 0 0 15.

68A1 1 0 0 1 5. 12a1 1 0 0 1 . M9 1a8 8 0 1 0 0 16A8 8 0 0 0 9 1zm. 69a4 4 0 0 0-. 29 0 0 1 1.

34 0 0 0 . 8 0 0 0 2. 07A8 8 0 0 0 8. 8 0 0 1 0-3. 83a8 8 0 0 0 0 7.

3A8 8 0 0 0 1. 77 0 0 1 4. So the estimated values should resemble the Fibonacci series. But why should there be inherent uncertainty in larger items? Isn’t the uncertainty higher, if we make fewer measurement, meaning if fewer people estimate the same story? And even if the uncertainty is higher in larger stories, why does that imply the use of the Fibonacci sequence? Is there a mathematical or statistical reason for it?

Probably just because the Fibonacci sequence is “cool”. Any exponential sequence would work. This question appears to be off-topic because it is about? Use comments to ask for more information or suggest improvements.

Avoid answering questions in comments. The Fibonacci series is just one example of an exponential estimation scale. The reason an exponential scale is used comes from Information Theory. The information that we obtain out of estimation grows much slower than the precision of estimation. In fact it grows as a logarithmic function.

This is the reason for the higher uncertainty for larger items. The base corresponding to the Fibonacci scale may or may not be optimal. This is a deeper explanation I was hoping for. Thank you for this answer. Out of the first six numbers of the Fibonacci sequence, four are prime. This limits the possibilities to break down a task equally into smaller tasks to have multiple people work on it in parallel. Doing so could lead to the misconception that the speed of a task could scale proportionally with the number of people working on it.