This question focuses on conditional probability by restricting attention to a specific subgroup.
Once a condition is given, ignore everyone who does not meet it.
This question is a clear example of conditional probability where the condition restricts the group we are working with. Instead of selecting from the entire class, we are told that the student chosen is a girl. This information changes the sample space and is the key to solving the problem correctly.
In probability, whenever a question includes phrases such as "given that", "knowing that", or "if the student is", you should immediately think about limiting the group of possible outcomes. In this case, boys are no longer relevant because the condition tells us the student is a girl.
Originally, the class contains 30 students. However, once we know the student is a girl, the sample space shrinks to include only the 18 girls. All probability calculations must now be based on this smaller group.
This is the defining feature of conditional probability: the total number of possible outcomes changes because of additional information.
A school has 20 students in a club: 12 are Year 10 and 8 are Year 11. If a student is chosen and is known to be in Year 10, what is the probability that the student plays football, given that 5 Year 10 students play football?
Answer: Only Year 10 students are considered. The probability is calculated using 5 favourable outcomes out of 12 possible outcomes.
In a survey, 15 people prefer tea and 10 prefer coffee. If a person is selected and is known to prefer tea, what is the probability they take sugar, given that 6 tea drinkers take sugar?
Answer: The probability is found by comparing the number who take sugar with the total number of tea drinkers.
This type of conditional probability is used frequently in real life. For example, if a doctor knows a patient belongs to a particular age group, probabilities about symptoms or treatments are calculated only within that group. The same logic applies in education, surveys, and data analysis.
Is this still conditional probability even though only one student is chosen?
Yes. The condition restricts the sample space, which makes the probability conditional.
Do I need to use a formula?
No. At Foundation level, careful counting and reasoning are sufficient.
How can I spot these questions quickly?
Look for information that tells you something specific about the chosen person or item.
Before calculating, ask yourself: Who am I allowed to choose from now? This helps you identify the correct total every time.
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