NEB Class 12 • Mathematics • Statistics • Practice Set
Karl Pearson & Spearman Correlation Practice Set: NEB 12 Maths
Master Karl Pearson and Spearman Correlation through clear concepts, representations, a reliable answer method and exam-focused practice.
Worked practice
Build the result from meaning, not memory
Correlation quantifies association, not causation. Pearson measures linear association between numerical variables, while Spearman measures monotonic association through ranks and is less tied to linear scale.
Worked example
If two rankings of four students differ by squared-rank differences totaling 2, ρ=1−12/60=0.8.
The governing relationship is Pearson r=Σ[(x−x̄)(y−ȳ)]/√[Σ(x−x̄)²Σ(y−ȳ)²]. Without ties, Spearman ρ=1−6Σd²/[n(n²−1)]. Check the convention, geometry or boundary condition before calculation.
Independent practice ladder
- Define the key physical quantities and give their SI units.
- Draw and label the relevant wave, ray, mode or energy diagram.
- Recalculate the worked example after changing one input by a factor of two.
- Explain the result without equations.
- Create a Nepal-relevant situation such as a classroom speaker, musical pipe, optical slit or thermal machine.
- Compare two cases and predict the larger output before calculating.
- Find and repair one deliberately wrong sign, node or unit.
- Write a three-mark answer and a five-mark answer.
Answer protocol: diagram → known data → principle → symbolic equation → SI substitution → result → physical check. Claiming correlation proves cause, using Pearson for a strongly nonlinear pattern, mishandling tied ranks, or interpreting r=0 as no relationship of any kind.
NEB answer method
Model → evidence → equation → check
First identify the system and what the question asks. Label the diagram, apparatus or reaction with SI quantities, then state the principle before selecting an equation. Solve symbolically where possible and check units, limiting cases and chemical or physical meaning.
| Stage | Question | Evidence |
|---|---|---|
| Model | What is idealised? | Assumption stated |
| Representation | Which diagram fits? | Labels or balanced equation |
| Calculation | Which relation follows? | Symbols then SI values |
| Evaluation | Does it make sense? | Unit, sign and trend check |
Make the idea concrete in Nepal
Connect the model to a school laboratory, household technology, health, environment, energy or local material. The example should clarify the science rather than merely mention a place. Compare a prediction with an observation and record uncertainty.
Review the NEB Class 12 Mathematics revision roadmap and the complete Mathematics guide. For online or physical tuition, call 9846662070.
Frequently asked questions
Questions students ask about Karl Pearson and Spearman Correlation
Correlation quantifies association, not causation. Pearson measures linear association between numerical variables, while Spearman measures monotonic association through ranks and is less tied to linear scale.
Pearson r=Σ[(x−x̄)(y−ȳ)]/√[Σ(x−x̄)²Σ(y−ȳ)²]. Without ties, Spearman ρ=1−6Σd²/[n(n²−1)].
Draw the situation, list known quantities in SI units, choose the governing relation symbolically, substitute once and finish with a unit and reasonableness check.
Claiming correlation proves cause, using Pearson for a strongly nonlinear pattern, mishandling tied ranks, or interpreting r=0 as no relationship of any kind.
Alternate one concept explanation, one diagram and two numericals. Revisit errors after a day instead of only rereading the solution.
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References and next steps
Scope checked against CDC Nepal; concept support from an institutional reference and OpenStax Science. Continue with the Karl Pearson and Spearman Correlation cluster.
Ask about online or physical tuition
For focused Class 11 and Class 12 subject tuition, lesson clarification, worked-example practice and exam preparation, call 9846662070. Class mode, timetable, teacher availability and fees should be confirmed directly before enrolment.
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