This question tests conditional probability where more than one outcome satisfies the condition on the second draw.
Always update the total number of items and list all favourable outcomes before forming the probability.
This question focuses on conditional probability where the second event depends on information from the first event. The key phrase given that signals that the situation must be updated before calculating the probability of the next outcome.
Because the marbles are drawn without replacement, the first draw permanently changes the contents of the bag. This means the sample space for the second draw is smaller than the original one, and all probabilities must be calculated using the updated totals.
When solving conditional probability problems, it is helpful to think in terms of a new scenario rather than trying to adjust a formula. Once the first outcome is known, imagine starting a brand-new question using only the remaining objects.
In this question, the second draw is not asking for a single colour but for a combined outcome: red or blue. This requires identifying multiple favourable outcomes and adding them together correctly.
A jar contains 4 black, 6 white, and 2 yellow beads. One white bead is removed. What is the probability that the next bead chosen is black or yellow?
After removing one white bead, there are 11 beads left. The favourable outcomes are the black and yellow beads, which total 6. The probability is therefore \(\frac{6}{11}\).
A pack contains 12 cards numbered 1 to 12. One even number is removed. What is the probability that the next card drawn is a multiple of 3?
The total number of cards is now 11. The favourable outcomes depend on which numbers remain, showing why conditional probability requires careful reasoning rather than shortcuts.
Higher-tier GCSE questions often test reasoning rather than routine calculation. This problem requires interpreting conditions, updating the sample space, and combining probabilities logically — all core Higher skills.
Conditional probability is used in many real-world situations such as quality inspections, medical diagnosis, and data filtering. Decisions are often made based on updated information rather than initial assumptions.
When a question says given that, pause and rewrite the situation using only what remains. Treat it as a new problem with clearer numbers.
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