Practise identifying favourable outcomes on a fair six-sided die.
Always check which numbers satisfy the condition before forming the fraction.
This question focuses on a very common GCSE Foundation probability skill: identifying favourable outcomes on a six-sided die and expressing the probability as a simplified fraction. A standard die has six faces numbered from 1 to 6. When you are asked to find the probability of rolling a number greater than a certain value, you must list all the numbers that satisfy the condition and then compare them with the total number of possible outcomes.
In probability, every outcome on a fair die is equally likely because each face has the same chance of landing face-up. This idea of equal likelihood is essential: it ensures that we simply count outcomes rather than needing more advanced techniques.
This structured approach works for any similar problem involving inequalities and discrete outcomes.
The numbers less than 3 on a die are 1 and 2. That gives 2 favourable outcomes out of 6. The probability is 2/6, which simplifies to 1/3. Even though the condition has changed, the process remains identical.
The even numbers on a die are 2, 4, and 6. That gives 3 favourable outcomes. The probability is 3/6, which simplifies to 1/2. This example highlights the importance of knowing basic number properties when answering probability questions.
The numbers that satisfy this condition are 3, 4, and 5. So there are 3 favourable outcomes out of 6, giving a probability of 3/6 = 1/2. This shows how inequalities can define different sets of favourable outcomes.
Although dice problems seem abstract, the underlying probability ideas appear in real-life decision-making, games, and even technology. Board games rely heavily on dice probability to create fairness and unpredictability. In computing, random number generators simulate dice-like behaviour when creating digital randomness for games, testing, and encryption. In science experiments, understanding outcomes helps in predicting results and interpreting data.
Q: Why do we only count numbers that meet the condition?
A: Probability focuses on the outcomes relevant to the event of interest, known as favourable outcomes.
Q: Does the order matter on a single die roll?
A: No. A single roll produces one number, so order does not play a role.
Q: Can probability be greater than 1?
A: Never. Probabilities always fall between 0 and 1.
Before forming a fraction, always list the favourable outcomes in full. This prevents overlooking values and ensures your probability calculation is accurate.
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