Probability — The Complete Basics

A concept-first guide to Class 10 probability: the classical definition, the P(E) formula, sample spaces, the complement rule, and solved dice, coin, and card problems.

By the PadhoDost Team · 📖 7 min read · Updated 4 August 2026

Part of Class 10 (CBSE) prep

🧠 The cricket toss

Before every match, the captains gather for the toss. Nobody knows if it will be heads or tails, yet everyone agrees each side has an equal chance. That simple feeling of 'equal chance' is the whole idea of probability: a number between 0 and 1 that measures how likely something is to happen.

Probability is the branch of maths that puts a number on uncertainty. An event that is impossible gets 0, an event that is certain gets 1, and everything in between (like a coin showing heads) sits somewhere between those two. In Class 10 we study the theoretical (classical) approach, where all outcomes are assumed equally likely.

The key words: experiment, outcome, event

1 2 3 4 5 6 P(even) = 3 favourable / 6 total = 1/2
Probability = favourable ÷ total. A die has 6 faces; 3 are even, so P(even) = 3/6 = ½.

An experiment is an action with an uncertain result (tossing a coin, rolling a die). Each possible result is an outcome. The set of all possible outcomes is the sample space. An event is a collection of one or more favourable outcomes we care about, such as 'getting an even number' when rolling a die.

P(E) = (Number of outcomes favourable to E) / (Total number of possible outcomes)
ℹ️ This formula only works when every outcome is equally likely — a fair coin, a fair die, a well-shuffled deck. If a die is loaded, the classical formula does not apply.
RuleStatementMeaning
Range0 ≤ P(E) ≤ 1Probability is never negative or above 1
Certain eventP(E) = 1Sure to happen
Impossible eventP(E) = 0Cannot happen
ComplementP(not E) = 1 − P(E)Sum of an event and its complement is 1

How to solve any probability question

  1. 1Identify the experiment and list the full sample space (count total outcomes).
  2. 2Circle the outcomes that are favourable to the event asked.
  3. 3Divide favourable by total to get P(E).
  4. 4Simplify the fraction to its lowest terms.
  5. 5If 'not E' is asked, use 1 − P(E) as a shortcut.

📝 Rolling a die and drawing a card

Q1: A fair die is rolled once. Find P(getting an even number).

Sample space = {1, 2, 3, 4, 5, 6}, so total outcomes = 6.

Even numbers = {2, 4, 6}, so favourable = 3.

P(even) = 3/6 = 1/2.

Q2: One card is drawn from a well-shuffled deck of 52. Find P(a king).

There are 4 kings, total = 52.

P(king) = 4/52 = 1/13.

Q3: Using the complement rule, P(not a king) = 1 − 1/13 = 12/13.

⚠️ A very common mistake: forgetting outcomes. A deck has 52 cards (not 54 — the jokers are removed), 13 of each suit, and face cards are only the Jack, Queen and King (the Ace is not a face card in CBSE).

Remember these

  • P(E) = favourable outcomes / total outcomes, only for equally likely outcomes.
  • Probability always lies between 0 and 1.
  • P(E) + P(not E) = 1, so P(not E) = 1 − P(E).
  • Sum of probabilities of all elementary outcomes of an experiment = 1.
  • A standard deck = 52 cards, 4 suits, 12 face cards, 13 cards per suit.

⚡ Quick check

A bag contains 5 red and 3 black balls. One ball is drawn at random. What is the probability that it is NOT red?

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