Question

Difficulty: MediumProbability of Independent, Dependent, and Mutually Exclusive Events

A jar contains 44 red marbles, 66 blue marbles, and 55 green marbles. If two marbles are selected at random one after another without replacement, what is the probability that the first marble selected is red and the second marble selected is blue?

  1. 435\frac{4}{35}Answer
  2. B
    875\frac{8}{75}
  3. C
    73105\frac{73}{105}
  4. D
    1255\frac{12}{55}
  5. E
    1029\frac{10}{29}

Answer

The probability that the first marble selected is red and the second marble selected is blue is 435\frac{4}{35}.
To find the joint probability of two dependent sequential events, multiply the probability of the first event by the conditional probability of the second event. The probability of drawing a red marble first is 415\frac{4}{15}. Because the selection is made without replacement, there are 1414 marbles remaining in the jar, 66 of which are blue. The probability of drawing a blue marble second is 614\frac{6}{14}. Multiplying these together yields 415×614=24210=435\frac{4}{15} \times \frac{6}{14} = \frac{24}{210} = \frac{4}{35}.

Step-by-Step Solution

1
Calculate the total number of marbles in the jar initially.
Total marbles = 4+6+5=154 + 6 + 5 = 15.
The sample space size for the first draw is the sum of all marbles.
2
Determine the probability of selecting a red marble on the first draw.
P(Red1)=415P(\text{Red}_1) = \frac{4}{15}.
There are 44 favorable outcomes out of 1515 total outcomes.
3
Determine the probability of selecting a blue marble on the second draw given that one red marble was removed without replacement.
P(Blue2Red1)=614=37P(\text{Blue}_2 \mid \text{Red}_1) = \frac{6}{14} = \frac{3}{7}.
After removing one red marble, there are still 66 blue marbles, but only 1414 total marbles remaining.
4
Apply the multiplication rule for dependent events.
P(Red1 and Blue2)=415×614=24210=435P(\text{Red}_1 \text{ and } \text{Blue}_2) = \frac{4}{15} \times \frac{6}{14} = \frac{24}{210} = \frac{4}{35}.
The joint probability of sequential dependent events is the product of the first event's probability and the conditional probability of the second event.

Key Concept

Conditional Probability and Dependent Events
Estimated Time:1m 30s
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