Measures Of Dispersion
Kerala Board · Class 12 · Mathematics
Summary of Measures Of Dispersion for Kerala Board Class 12 Mathematics. Key concepts, important points, and chapter overview.
Overview
Measures of dispersion are statistical tools that help us understand how spread out or scattered data points are around the central value (mean). While measures of central tendency tell us about the 'center' of data, measures of dispersion reveal the variability or consistency within the dataset. Tw
Key Concepts
Range = Largest Value
Range = Largest Value - Smallest Value. It's the simplest measure showing the total spread of data. For example, if test scores are 45, 67, 78, 89, 92
MD = (1/N) × Σ|xi
MD = (1/N) × Σ|xi - x̄| for ungrouped data, and MD = (1/N) × Σfi|xi - x̄| for grouped data. We take absolute values to avoid negative deviations cance
σ² = Σ(xi
σ² = Σ(xi - x̄)²/n for ungrouped data. Alternative formula: σ² = (Σxi²/n) - (Σxi/n)². For grouped data: σ² = Σfi(xi - x̄)²/N. We square deviations to
σ = √σ² (positive square root
σ = √σ² (positive square root of variance). It brings the measure back to original units. For example, if variance is 144 marks², then standard deviat
Used for grouped data with equal
Used for grouped data with equal class intervals. Steps: 1) Choose assumed mean 'a' (preferably middle class mark), 2) Calculate ui = (xi - a)/h where
Learning Objectives
- Understand the concept and importance of measuring data spread
- Calculate Range as the simplest measure of dispersion
- Compute Mean Deviation from Mean and Median for both ungrouped and grouped data
- Calculate Variance and Standard Deviation using multiple methods
- Apply step-deviation method for simplified calculations
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Sources & Official References
- Kerala Board of Public Examinations — keralapareekshabhavan.in
- National Education Policy 2020 — education.gov.in
Content is aligned to the official syllabus. Refer to the board website for the latest curriculum.
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