Find the probability of drawing a face card from a full 52-card deck.
Multiply 3 face cards per suit by 4 suits, then divide by 52.
In GCSE Maths, card-based probability questions are a useful way to practise working with known quantities and fixed sample spaces. A standard deck of playing cards always contains 52 cards arranged into four suits: hearts, diamonds, clubs, and spades. Each suit contains 13 cards, and among them are three face cards: Jack, Queen, and King. These face cards form a common subset used in many probability questions because the numbers are structured, memorable, and mathematically neat.
To calculate the probability of drawing a face card, the first step is to determine how many favourable outcomes exist. Since each suit contains three face cards, the total number of face cards in the whole deck is \(4 \times 3 = 12\). The next step is to divide this number by the total number of possible outcomes, which is 52. This gives the simple probability \(12/52\), which simplifies to \(3/13\). This method — identifying favourable outcomes and dividing by total outcomes — is the core process for nearly all basic probability questions at GCSE level.
If a question asks for the probability of drawing a King, the process is similar. Each deck has four Kings (one per suit). Therefore, the probability is \(4/52 = 1/13\). Even though face cards include three different types, the logic for any single rank works the same way.
Suppose you wanted the probability of drawing any card from the picture group (Jacks, Queens, Kings, or Aces). Each suit has four such cards, so there are \(4 \times 4 = 16\) picture cards in total. The probability becomes \(16/52\), which simplifies to \(4/13\). Although this group is slightly different from standard face cards, the calculation method remains identical: count favourable outcomes, then divide by 52.
Probability with cards is more than just a mathematical exercise. The same reasoning applies to games of chance, quality control sampling, genetics problems where certain traits represent favourable outcomes, and even computer simulations where outcomes must be calculated based on known distributions. Understanding structured probability from simple examples helps build intuition for more complex probability models later in statistics.
Q: Does the suit matter when calculating this probability?
A: No. All suits contain the same number of face cards, and the question asks for any face card, so all face cards are equally likely.
Q: Is a Joker included?
A: No. GCSE problems assume the standard 52-card deck without Jokers.
Q: Why simplify the fraction?
A: Simplifying makes the probability easier to compare with other probabilities and is standard practice in examinations.
When approaching any probability question, always begin by listing the number of favourable outcomes before dividing by the total number of possible outcomes. This simple habit prevents most errors and is essential for higher-level questions involving multiple events or conditional probability.
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