Probability: CBSE Class 12 Maths knowledge organiser
Everything to know about probability on one page: key definitions, the formulas, a worked example, the mistakes to avoid and a checklist of what you should be able to do.
Key definitions
- Conditional probability
- P(A | B) = P(A ∩ B)/P(B), the probability of A given B.
- Independent events
- P(A ∩ B) = P(A)P(B).
- Bayes' theorem
- Finds the probability of a cause given that an event has happened.
Key formulas
| Conditional | \(P(E\mid F)=\frac{P(E\cap F)}{P(F)},\) \(P(F)\ne0\) |
| Properties | \(P(S\mid F)=1,\) \(P(E'\mid F)=1-P(E\mid F)\) |
| Multiplication rule | \(P(E\cap F)=P(E)P(F\mid E)=P(F)P(E\mid F)\) |
| Independent | \(P(E\cap F)=P(E)P(F)\) |
| Union | \(P(E\cup F)=P(E)+P(F)-P(E\cap F)\) |
| Total probability (partition \(E_1,\dots,E_n\)) | \(P(A)=\sum_{j=1}^nP(E_j)P(A\mid E_j)\) |
| Bayes' theorem | \(P(E_i\mid A)=\frac{P(E_i)P(A\mid E_i)}{\sum_{j=1}^nP(E_j)P(A\mid E_j)}\) |
| Random variable | \(p_i\ge0,\) \(\sum p_i=1,\) \(E(X)=\mu=\sum x_ip_i\) |
Worked example
A card is drawn from a pack of 52. Given it is a face card (J, Q, K), the probability that it is a king is \(\dfrac{4}{12} = \dfrac13\).
Common mistakes
- Dividing by the wrong event: in \(P(A \mid B)\) the given event \(B\) goes in the denominator.
- Assuming independence without justification, or confusing it with mutually exclusive.
- In Bayes’ questions, forgetting a branch in the denominator or not defining \(E_1, E_2, \dots\) and \(A\).
- Probability distributions whose probabilities do not add to \(1\) — always check.
You should be able to…
- Compute conditional probabilities from counts and formulas, use the multiplication theorem and find k in a probability distribution.
- Test independence, apply total probability and Bayes’ theorem, and find the mean of a random variable at board 2- and 3-mark level.
- Write complete 5-mark Bayes and random-variable answers (events defined, tree/table, formula, conclusion) and handle probability case studies.
- Handle proofs about conditional probability and independence, sequential evidence in Bayes, and distributions built from without-replacement experiments.
The printable sheet

Revise it next
- Probability: Class 12 notes
- Practise Probability by step (Route to 95)
- Skill Builders
- CBSE Class 12 Maths formula sheet (PDF)
Other CBSE Class 12 Maths topics: Relations and Functions · Inverse Trigonometric Functions · Matrices · Determinants · Continuity and Differentiability · Application of Derivatives · Integrals · Application of Integrals · Differential Equations · Vector Algebra · Three Dimensional Geometry · Linear Programming · All CBSE Class 12 Maths organisers