CBSE · Class 6-12

Topic

Statistics & Probability

Making sense of data, chance, and the mathematics of uncertainty.

11 units·6 classes covered·8 practice-ready

Why this matters

Will it rain tomorrow? Will Virat score a fifty? Should a company lower prices? Statistics and probability are how we make sharp decisions in a fuzzy world.

Data science, ML, medicine, elections, cricket analytics — nothing in the modern world runs without probability. And in Class 10-12 boards it is one of the most predictable, highest-scoring topics if you know your basics.

The story arc

Class 6First data handling — reading and drawing simple graphs.
Class 8Bar graphs, line graphs, data visualisation.
Class 9Averages, spread, and understanding a data set as a whole.
Class 10Grouped-data mean/median/mode + classical probability.
Class 11-12Variance, conditional probability, Bayes' theorem.

Topic-wise practice paper

Mixed practice — all classes, one paper

15 hand-picked questions spanning every class where this topic appears. Auto-scores with hint ladder + AI Tutor when you're stuck.

Class 6

1 unit

Data Handling and Presentation

Collect, organise, and present data using tables, pictographs, and bar graphs.

Class 8

1 unit

Tales by Dots and Lines

Graphs, line graphs, and data visualisation.

Class 9

2 units

The Mathematics of Maybe: Introduction to Probability

Chance, experimental probability, and simple events.

How Quantities Combine: Understanding Data

Organising raw data, frequency distributions, and the three big averages: mean, median, mode.

Class 10

4 units · 2 tracks

Measures of central tendency for grouped data: mean, median, mode and their empirical relationship.

Classical (theoretical) probability, sample space, favourable outcomes, complementary events.

041 · Standard

Measures of central tendency for grouped data: mean, median, mode and their empirical relationship.

041 · Standard

Classical (theoretical) probability, sample space, favourable outcomes, complementary events.

Class 11

2 units

Measures of dispersion: range, mean deviation, variance, and standard deviation.

Axiomatic probability, sample spaces, and probability of events.

Class 12

1 unit

Conditional probability, multiplication rule, Bayes' theorem, random variables and their distributions.