Catching salmon example
Every fall the salmon run occurs -- this is the time when salmon swim back upriver from the ocean to spawn. While swimming back to the upper river (usually to the place where they were spawned), the fish may encounter grizzly bears. Some of these bears can eat 18 salmon in 3 hours, and they have a 0.0333 probability of success in their attempts to catch a fish.
We can model a grizzly bear catching salmon with a geometric distribution.
For the following exercises, the geom object from scipy.stats has already been loaded for your convenience.
This exercise is part of the course
Foundations of Probability in Python
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Getting a salmon on the third attempt
probability = geom.____(k=____, p=____)
# Print the result
print(probability)