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JEE Probability Quiz

Chapter-wise practice on classical probability, addition and multiplication rules, conditional probability, Bayes' theorem and the binomial distribution.

JEE Probability Quiz on QUFF - Flat illustration of stacked study books topped with a graduation cap, surrounded by a DNA helix, an atom, a molecule and a geometry compass
6
questions / round
80-180
XP per question
~2 min
round time
adaptive levels

Skill map

Levels in this jee probability quiz

1Classical Probability2Addition & Multiplication Rules3Independent Events4Conditional Probability5Bayes' Theorem6Binomial Distribution7Expected Value

Every question is generated fresh by AI and calibrated to your level - clear a level and the next one gets harder. Miss one and the AI tutor explains Probability until it sticks, then aims a follow-up at the gap. Want to grind one level? Start the quiz and type that sub-topic as your own.

Exam focus

How Probability is asked

Sits directly on top of Permutations and Combinations - most probability questions are counting questions with a division at the end. Bayes' theorem is a recurring favourite because it is short to state and easy to apply backwards.

Cheat sheet

Probability formulas worth memorising

QuantityFormula
Classical probabilityP(A) = favourable outcomes / total outcomes
Addition ruleP(A ∪ B) = P(A) + P(B) − P(A ∩ B)
Conditional probabilityP(A|B) = P(A ∩ B) / P(B)
Independent eventsP(A ∩ B) = P(A) · P(B)
Bayes' theoremP(Aᵢ|B) = P(B|Aᵢ)P(Aᵢ) / Σ P(B|Aⱼ)P(Aⱼ)
Binomial distributionP(X = r) = ⁿCr pʳ q^(n−r)
Binomial mean and variancemean = np, variance = npq

Marks lost here

Common mistakes in Probability

  • Confusing mutually exclusive with independent. Mutually exclusive events cannot happen together, so P(A ∩ B) = 0; independent events can, and satisfy P(A ∩ B) = P(A)P(B). Two events with non-zero probability cannot be both.
  • Reversing the conditional in Bayes' problems. P(disease | positive test) is not P(positive test | disease), and the whole point of Bayes' theorem is converting between them.
  • Forgetting to subtract the intersection in the addition rule. Adding P(A) and P(B) alone counts the overlap twice.
  • Applying the binomial distribution when trials are not independent or the probability changes. Drawing without replacement violates both, and requires counting instead.
  • Assuming that because two outcomes exist, each has probability one half. Symmetry has to be justified, not assumed.

Game rules

How a round works

  1. 01Spawn

    Press play - the AI generates Probability questions in seconds.

  2. 02Level up

    Answer to earn XP and build a streak. Difficulty adapts to your accuracy and speed.

  3. 03Learn or lose

    Every answer - right or wrong - gets an AI tutor explanation. Wrong answers respawn as follow-ups.

Leaderboard

Probability high scores

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Player's guide

JEE Probability Quiz - FAQs

When should I use Bayes' theorem?

When you know the probability of evidence given a cause and need the probability of the cause given the evidence. The tell in a question is that you are given several possible sources with known rates, an observed result, and are asked which source it most likely came from.

Can two events be both mutually exclusive and independent?

Not unless one of them has probability zero. Mutual exclusivity forces P(A ∩ B) = 0, while independence requires P(A)P(B), and those agree only when one probability is zero. Questions test this directly.

Is the jee probability quiz free?

Yes - completely free, with no sign-up required. Type a topic, press start, and the AI generates an adaptive Probability quiz with an explanation for every answer.

Can teachers host this jee probability quiz live for a class?

Yes - create a free teacher account, host a live room on "Probability", and students join with a 6-character code at quff.in/join. No student accounts needed.

From the blog

Probability guides & reading

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Ready, player?

Six adaptive Probability questions. About two minutes. Climb the podium.

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