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MERITROOT FREE LEARNING · CLASS 10 / MATHEMATICS

Statistics

Your chapter workspace for understanding concepts, revising key ideas and practising questions. Choose an available resource below.

PYQs6Formulae6Derivations2
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PYQs

Practise questions grouped by chapter and source year.

Practice questions are organised using the years and labels in our source collection. Work through the solutions with your teacher; these are not a complete official examination paper.

Practice question 1

Source year: 20253 marks

Find mean of frequency distribution. [CBSE 2025]

Practice question 2

Source year: 20243 marks

Find mode and median. [CBSE 2024]

Practice question 3

Source year: 20253 marks

Find mean of following frequency distribution: 0-20(6), 20-40(8), 40-60(10), 60-80(12), 80-100(6). [CBSE 2025]

Practice question 4

Source year: 20243 marks

Find mode and median from data: 5,3,6,5,4,5,2,8,6,5,4,8,3,4,5,4,8,2,5,4. [CBSE 2024]

Practice question 5

Source year: 20233 marks

Draw ogive for given data and find median. [CBSE 2023]

Practice question 6

Source year: 20223 marks

Find mean using assumed mean method. [CBSE 2022]

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Formulae

Revisit important relationships and quick revision formulae.

Mean

Mean = Σfx / Σf

Median

Median = l + [(n/2 - cf)/f] × h

Mean (Ungrouped)

Mean = Sum of observations / Number of observations\nMean = Σx / n

Mean (Grouped)

Direct Method: Mean = Σfx / Σf\nAssumed Mean: Mean = a + Σfd / Σf\nStep Deviation: Mean = a + (Σfu / Σf) × h

Median (Grouped)

Median = l + [(n/2 - cf) / f] × h\nl = lower limit of median class\nn = total frequency\ncf = cumulative frequency before median class\nf = frequency of median class\nh = class width

Mode (Grouped)

Mode = l + [(f₁-f₀) / (2f₁-f₀-f₂)] × h\nl = lower limit of modal class\nf₁ = frequency of modal class\nf₀ = frequency before modal class\nf₂ = frequency after modal class\nh = class width

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Derivations

Work through the reasoning behind key concepts.

Relation: 3Median = Mode + 2Mean

This is an empirical relation that holds approximately for moderately skewed distributions. It's useful for finding one measure when other two are known. Exact for perfectly symmetrical distributions.

Relation between Mean, Median, Mode

3 Median = Mode + 2 Mean (empirical relation)

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