A Probability Tree Diagram is a visual tool used to represent different possible outcomes of an event and their probabilities.
It helps break down complex probability problems step by step.
Probability tree diagrams are especially useful for multi-step events, like drawing balls from a bag one after another or flipping a coin twice.
There are 10 balls in total: 3 red balls, 7 blue balls.
For the first draw:
For the second draw, the probabilities depend on what was picked first:
Multiply along each branch of the tree to find the probability of each outcome:
Final Check: Since all possible outcomes are listed, their probabilities should sum to 1 ✅
$$ \frac{1}{15} + \frac{7}{30} + \frac{7}{30} + \frac{7}{15} = 1 $$
To find the probability of drawing two balls of the same colour, we add the probabilities of both red-red and blue-blue outcomes.
Now, add both probabilities together:
$$ P(\text{🔴🔴}) + P(\text{🔵🔵}) = \frac{1}{15} + \frac{7}{15} $$
Thus, the probability of drawing two balls of the same colour is $\Large \frac{8}{15}$.
To find the probability of getting at least one blue ball, we can add up the cases:
$$ P(\text{🔴🔵}) + P(\text{🔵🔴}) + P(\text{🔵🔵}) = \frac{7}{30} + \frac{7}{30} + \frac{7}{15} $$
Alternatively, we can use the complement rule. The only unwanted outcome is drawing two red balls: $$ P(\text{🔴🔴}) = \frac{1}{15} $$
Since the total probability is always 1, we subtract the unwanted outcome:
$$ 1 – P(\text{🔴🔴}) = 1 – \frac{1}{15} $$
Thus, the probability of drawing at least one blue ball is: $ \Large \frac{14}{15} $
This method is much faster than adding up all the cases separately! 🚀
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