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)
- Define the coefficient of variation and state its use.
- Find the range of 8, 3, 11, 6, 14.
- A card is drawn from a pack of 52. Find P(getting a king).
- State the addition theorem of probability.
- If P(A) = 0.6, find P(A′).
7. Answer key
- CV = (σ/x̄) × 100%; it compares the consistency of two data sets (smaller CV = more consistent).
- Range = 14 − 3 = 11.
- Kings = 4; P = 4/52 = 1/13.
- P(A ∪ B) = P(A) + P(B) − P(A ∩ B).
- 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.
