Computing conditional probability using a sample space
The first conditional probability question on the exam, and the cleanest place to see what the idea actually is: being told something shrinks the pool you are choosing from.
A short walkthrough explaining what you need to know and how to solve this question type lands here once it's recorded.
ALEKS randomizes the numbers each attempt, but the question shape stays the same. Here are three example versions you might see.
Eight cards are numbered 1 to 8. Cards 1, 2, 4, 5, 6, 7 and 8 are grey; card 3 is white.
A card is drawn at random. What is the probability it is card 4, given that it is grey? Write your answer as a fraction.
Eight cards are numbered 1 to 8. Cards 1, 2, 4, 5, 6, 7 and 8 are grey; card 3 is white.
What is the probability the card is number 3, given that it is grey? Write your answer as a fraction or a whole number.
Twelve cards are numbered 1 to 12. Eight of them are grey, including card 5.
What is the probability the card is number 5, given that it is grey? Write your answer as a fraction.
Ten cards are numbered 1 to 10. The cards numbered 1, 2, 3, 5, 8 and 9 are grey; the rest are white.
One card is drawn at random.
The plain probability
How many are grey?
Now condition on grey
That is the whole idea
1/10 became 1/6. The numerator did not move — card 3 is still one card. What changed is what you are choosing from.
Conditional probability is always that: information narrows the pool, and narrowing the pool raises the probability of anything still inside it. Nothing more complicated is going on, on this exam or anywhere else.