This question shows that conditional probability can sometimes equal 1 when all remaining outcomes match.
If only one type of outcome remains after applying the condition, the probability is 1.
In probability, a value of 1 represents absolute certainty. This question is designed to show that conditional probability can sometimes result in a probability of exactly 1 when all remaining outcomes satisfy the required condition.
The key phrase in the question is "given that it is not blue". This immediately removes all blue balls from consideration. Once those outcomes are excluded, only red balls remain. Since every possible remaining outcome is red, the probability of selecting a red ball becomes 1.
Probability is calculated using:
Number of favourable outcomes ÷ total number of possible outcomes
After applying the condition, both the number of favourable outcomes and the total number of outcomes are the same. When these values are equal, the probability is always 1.
This does not mean the event was guaranteed before the condition was applied. It becomes certain only because additional information has restricted the sample space.
A bag contains 7 apples and 3 oranges. One fruit is chosen. What is the probability the fruit is an apple, given that it is not an orange?
Answer: Removing oranges leaves only apples. The probability is 1.
A drawer contains 5 black socks and 5 white socks. One sock is taken. What is the probability the sock is black, given that it is not white?
Answer: Removing white socks leaves only black socks. The probability is 1.
Conditional certainty appears often in real life. For example, if you know a day is a weekday, the probability it is Saturday is 0. If you know it is not Saturday or Sunday, the probability it is a weekday is 1. New information can turn uncertainty into certainty.
Is a probability of 1 allowed?
Yes. It means the event is guaranteed given the condition.
Does this mean the event was always guaranteed?
No. The certainty comes from the condition, not the original situation.
Can probability ever be greater than 1?
No. All probabilities must be between 0 and 1 inclusive.
If every remaining outcome satisfies the condition, do not overthink it. The probability is 1.
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