Candies in a Jar: Probability of Final Red Draw with Remaining Blue and Green
The Puzzle
You have a jar containing:
- 10 red candies
- 20 blue candies
- 30 green candies
You draw candies one at a time at random without replacement.
Question: What is the probability that, at the moment you remove the last red candy, there is still at least one blue and one green candy remaining in the jar?
Total Candies
Total number of candies: \( 10 + 20 + 30 = 60 \)
Approach
We aim to find the probability that when the last red candy is drawn, both blue and green candies are still present in the jar. This is equivalent to computing the probability that the last red candy is drawn before the last blue and last green candies.
Let:
- \( T_r \): position (draw number) of the last red candy
- \( T_b \): position of the last blue candy
- \( T_g \): position of the last green candy
We are interested in:
\[ P(T_r < T_b \text{ and } T_r < T_g) \]
This event can occur in two mutually exclusive ways:
- \( T_r < T_b < T_g \)
- \( T_r < T_g < T_b \)
Therefore:
\[ P(T_r < T_b \text{ and } T_r < T_g) = P(T_r < T_b < T_g) + P(T_r < T_g < T_b) \]
Calculating the Probabilities
First Scenario: \( T_r < T_b < T_g \)
- Probability that the very last candy drawn is green: \( \frac{30}{60} \)
- Given that the last candy is green, we need the last red candy to be drawn before the last blue candy. This happens if, among the red and blue candies, the last one drawn is blue: \( \frac{20}{10+20} = \frac{20}{30} \)
So:
\[ P(T_r < T_b < T_g) = \frac{30}{60} \cdot \frac{20}{30} = \frac{1}{2} \cdot \frac{2}{3} = \frac{1}{3} \]
Second Scenario: \( T_r < T_g < T_b \)
- Probability that the very last candy drawn is blue: \( \frac{20}{60} \)
- Given that the last candy is blue, we need the last red candy to be drawn before the last green candy. This happens if, among the red and green candies, the last one drawn is green: \( \frac{30}{10+30} = \frac{30}{40} \)
So:
\[ P(T_r < T_g < T_b) = \frac{20}{60} \cdot \frac{30}{40} = \frac{1}{3} \cdot \frac{3}{4} = \frac{1}{4} \]
Final Probability
Adding both scenarios:
\[ \frac{1}{3} + \frac{1}{4} = \frac{4}{12} + \frac{3}{12} = \frac{7}{12} \]
Answer
\[ \boxed{\frac{7}{12}} \]