Calculate the likelihood of an event from a sample space, including independent and mutually exclusive events — probability is really just counting, dressed up as a fraction. Every question comes with a written walkthrough of exactly what was counted.
Once an item is removed from a sample space and not replaced, the total for the next draw is smaller — reusing the original total treats a dependent event as if it were independent.
If two events can happen at the same time, adding their probabilities double-counts the overlap — that case needs P(A)+P(B)−P(A and B) instead.
The complement rule works on probabilities, which sum to 1 — mixing it up with a count of outcomes produces a number that isn't a valid probability at all.
Straight from the bank — one per difficulty tier. Reveal the answer to see the explanation you'd get in a real session.
A bag contains 5 red marbles, 3 blue marbles, and 2 green marbles. What is the probability of drawing a blue marble?
A standard deck of 52 cards has 13 cards of each suit. Two cards are drawn without replacement. What is the probability both cards are hearts?
A jar contains 4 red, 3 blue, and 5 green balls. Two balls are drawn without replacement. What is the probability that the two balls are NOT the same color?
Probability problems are counting problems wearing a fraction — the fastest gains come from correctly identifying the sample space before any arithmetic starts.
Name which category a problem falls into before choosing whether to multiply, adjust the denominator, or add. Untimed practice is where that classification gets fast.
Move to timed sessions once classification is automatic. Multi-step probability problems run longer since there's often more than one event to track.
Pair basic probability with counting problems in a mock — many probability questions need a combination or permutation just to find the sample space size.
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