Diagrams that map out every possible outcome — and the two rules that make them work.
A probability tree is a diagram that shows sequences of events. Each "branch" represents one possible outcome, and the number on each branch is the probability of that outcome happening.
Trees are used when events happen one after another — flipping a coin twice, picking two sweets from a bag, or checking whether it rains on two consecutive days. They make it possible to calculate combined probabilities without getting lost in the logic. With sweets taken out of a bag and not replaced, the second-branch probabilities change.
The method is systematic:
When you add up all the end probabilities (every possible path through the tree), they must total exactly 1. If they don't, there's an error somewhere.
Given: the probability of rain on any day is 0.3, assuming the two days are independent (the question will tell you to).
Question 1: What is the probability it rains on both days?
Follow the "rain" branch twice — multiply along the path:
$$P(\text{rain both days}) = 0.3 \times 0.3 = 0.09$$Question 2: What is the probability it rains on at least one of the two days?
Use the shortcut: find the probability of no rain on either day, then subtract from 1:
$$P(\text{no rain either day}) = 0.7 \times 0.7 = 0.49$$ $$P(\text{rain at least once}) = 1 - 0.49 = 0.51$$Check: the chance of rain at least once must be more than 0.3 (one day alone gives that) and less than 0.6 (adding double-counts the both-days case). 0.51 fits.
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