Exclusive to AI HL, the Poisson distribution is introduced as a model for events that occur independently at a uniform average rate. Students learn to identify contexts where the Poisson model is appropriate, work with its mean and variance (both equal to λ), and apply the result that the sum of two independent Poisson distributions is also Poisson. A key skill is selecting between the normal, binomial and Poisson distributions given a real-world context.
Start here
Start by downloading the cheat sheet and the vocabulary below. After that, move to the video lessons with their respective exercise lists.
Video lessons
Learn the content with the videos provided and reinforce your comprehension by practicing with the exercise list above.
Take the mock exams
It’s time to put your knowledge to the test with our mock exams — the closest experience you’ll get to the real IB Math exams. Note: read the instructions on taking mock exams here.
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