By the end of this chapter you'll be able to…

  • 1Find the range, variance and standard deviation
  • 2Compute and interpret the coefficient of variation
  • 3State and apply the definition of probability
  • 4Use complementary and mutually exclusive events
  • 5Apply the addition theorem of probability
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Why this chapter matters
Statistics and Probability is a high-scoring final chapter. Standard deviation, coefficient of variation and probability problems are formula-driven and dependable for marks in the TN SSLC exam.

Before you start — revise these

A 5-minute refresher here will save you 30 minutes of confusion below.

Statistics and Probability — Class 10 Maths (Samacheer Kalvi)

TN State Board (Samacheer Kalvi) Class 10 Mathematics, Chapter 8 (the final chapter). Spread of data and the chance of events.


1. About this chapter

This chapter has two parts: measures of dispersion (how spread out data is) and probability (the chance of an event).

2. Measures of dispersion

  • Range = largest value − smallest value.
  • Variance = mean of the squared deviations: σ² = Σ(x − x̄)² / n.
  • Standard deviation = σ = √(Σ(x − x̄)² / n).
  • Coefficient of variation (CV) = (σ / x̄) × 100% — compares the consistency of two data sets (smaller CV = more consistent).

3. Probability

  • Probability of an event A: P(A) = (number of favourable outcomes) / (total outcomes), with 0 ≤ P(A) ≤ 1.
  • Complement: P(A′) = 1 − P(A).
  • Types of events: sure (P = 1), impossible (P = 0), mutually exclusive, complementary.
  • Addition theorem: P(A ∪ B) = P(A) + P(B) − P(A ∩ B); for mutually exclusive events, P(A ∩ B) = 0.

4. Worked examples

Example 1. Find the range of 12, 7, 20, 5, 15. Range = 20 − 5 = 15.

Example 2. A die is rolled. Find P(getting an even number). Favourable = {2, 4, 6} = 3; total = 6 → P = 3/6 = ½.

Example 3. If P(A) = 0.3 and P(B) = 0.5 with A, B mutually exclusive, find P(A ∪ B). P(A ∪ B) = 0.3 + 0.5 − 0 = 0.8.

5. Common mistakes

  • Mistake: Forgetting the square root for standard deviation. Fix: Variance = σ²; standard deviation = √variance.
  • Mistake: Writing P(A) > 1. Fix: Probability lies between 0 and 1.
  • Mistake: Ignoring P(A ∩ B) in the addition theorem. Fix: Subtract P(A ∩ B) unless the events are mutually exclusive.

6. Practice (book-back style)

  1. Define the coefficient of variation and state its use.
  2. Find the range of 8, 3, 11, 6, 14.
  3. A card is drawn from a pack of 52. Find P(getting a king).
  4. State the addition theorem of probability.
  5. If P(A) = 0.6, find P(A′).

7. Answer key

  1. CV = (σ/x̄) × 100%; it compares the consistency of two data sets (smaller CV = more consistent).
  2. Range = 14 − 3 = 11.
  3. Kings = 4; P = 4/52 = 1/13.
  4. P(A ∪ B) = P(A) + P(B) − P(A ∩ B).
  5. P(A′) = 1 − 0.6 = 0.4.

8. Quick revision

  • Chapter 8 (final) · dispersion and probability.
  • Range = max − min; σ = √(Σ(x − x̄)²/n); CV = (σ/x̄)×100%.
  • P(A) = favourable/total, 0 ≤ P(A) ≤ 1; P(A′) = 1 − P(A).
  • Addition theorem: P(A∪B) = P(A) + P(B) − P(A∩B).
  • Mutually exclusive ⇒ P(A∩B) = 0; smaller CV = more consistent.

Key formulas & results

Everything you need to memorise, in one card. Screenshot this for revision.

Standard deviation
σ = √(Σ(x − x̄)² / n)
Variance σ² is its square.
Coefficient of variation
CV = (σ / x̄) × 100%
Smaller CV = more consistent.
Probability
P(A) = favourable / total
0 ≤ P(A) ≤ 1; P(A′) = 1 − P(A).
Addition theorem
P(A ∪ B) = P(A) + P(B) − P(A ∩ B)
P(A ∩ B) = 0 if mutually exclusive.
⚠️

Common mistakes & fixes

These are the exact errors that cost students marks in board exams. Read them once, save yourself the trouble.

WATCH OUT
Forgetting the square root for standard deviation
Variance = σ²; standard deviation = √variance.
WATCH OUT
Writing P(A) > 1
Probability always lies between 0 and 1.
WATCH OUT
Ignoring P(A ∩ B) in the addition theorem
Subtract P(A ∩ B) unless the events are mutually exclusive.

Practice problems

Try each one yourself before tapping "Show solution". Active recall > rereading.

Q1EASY· Concept
Define the coefficient of variation and state its use.
Show solution
CV = (σ/x̄) × 100%; it compares the consistency of two data sets — the smaller CV is more consistent.
Q2EASY· Numerical
Find the range of 8, 3, 11, 6, 14.
Show solution
Range = 14 − 3 = 11.
Q3EASY· Numerical
A card is drawn from a pack of 52. Find P(getting a king).
Show solution
Kings = 4; P = 4/52 = 1/13.
Q4EASY· Concept
State the addition theorem of probability.
Show solution
P(A ∪ B) = P(A) + P(B) − P(A ∩ B).
Q5MEDIUM· Numerical
If P(A) = 0.3, P(B) = 0.5 and A, B are mutually exclusive, find P(A ∪ B).
Show solution
P(A ∪ B) = 0.3 + 0.5 − 0 = 0.8.
Q6EASY· Numerical
If P(A) = 0.6, find P(A′).
Show solution
P(A′) = 1 − 0.6 = 0.4.

5-minute revision

The whole chapter, distilled. Read this the night before the exam.

  • Chapter 8 (final) of Samacheer Kalvi Class 10 Mathematics.
  • Range = max − min; σ = √(Σ(x − x̄)²/n); variance = σ².
  • CV = (σ/x̄) × 100%; smaller CV = more consistent.
  • P(A) = favourable/total; 0 ≤ P(A) ≤ 1; P(A′) = 1 − P(A).
  • Addition theorem: P(A∪B) = P(A) + P(B) − P(A∩B).
  • Mutually exclusive ⇒ P(A∩B) = 0.

Tamil Nadu (TNBSE) marks blueprint

Where the marks come from in this chapter — so you can plan your prep.

Typical chapter weightage: 8-12 marks across MCQ, dispersion and probability problems

Question typeMarks eachTypical countWhat it tests
MCQ11-2Dispersion and probability facts
Standard Deviation2-51Variance, SD, coefficient of variation
Probability2-51-2Events and addition theorem
Prep strategy
  • Memorise SD and CV formulas
  • Practise standard-deviation calculations
  • Learn the probability definition and limits
  • Apply the addition theorem carefully

Where this shows up in the real world

This chapter isn't just an exam topic — it lives in the world around you.

Quality control

Standard deviation measures consistency in manufacturing.

Risk and insurance

Probability underlies insurance and forecasting.

Sports and surveys

Statistics summarise performance and opinion data.

Exam strategy

Battle-tested tips from teachers and toppers for this chapter.

  1. Take the square root for standard deviation
  2. Keep probabilities between 0 and 1
  3. Subtract P(A ∩ B) in the addition theorem
  4. State formulas before substituting

Going beyond the textbook

For olympiad aspirants and curious learners — topics that build on this chapter.

  • Show how adding a constant to all data leaves the standard deviation unchanged.
  • Use the addition theorem for three events.

Where else this chapter is tested

CBSE board isn't the only one — other exams test this chapter too.

TN SSLC Class 10 Public ExamHigh
Foundation / NTSE MathematicsMedium
School unit testsHigh

Questions students ask

The real ones — pulled from the Q&A community and tutor sessions.

Standard deviation depends on the units and size of the data, while the coefficient of variation is a percentage that lets us compare the consistency of different data sets fairly.

Events that cannot happen at the same time, so their intersection is empty and P(A ∩ B) = 0.
Verified by the tuition.in editorial team
Last reviewed on 3 June 2026. Written and reviewed by subject-matter experts — read about our process.
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