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Statistics – Class 10 Maths Chapter 13 Notes & NCERT PDF

Class 10MathematicsChapter 13NCERT book: Mathematics - Class 10

Notes and a simple summary of Chapter 13 of the NCERT Class 10 Mathematics book, with the official chapter PDF, flashcards, an MCQ quiz and an AI tutor for your doubts.

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Chapter 13: Statistics

Introduction

In Class IX you found the mean, median and mode of ungrouped data. Real data — marks of a whole school, wages of workers, heights of students — is usually large, so it is grouped into class intervals. This chapter extends the three measures of central tendency to grouped data and introduces cumulative frequency.

Key Concepts

1. Mean of grouped data (Section 13.2)

Each class is represented by its class mark (mid-point): class mark = (upper limit + lower limit) ÷ 2. The book assumes the frequency of each class is centred at its class mark.

Three methods — all give the same mean:

  • Direct method: x̄ = Σfᵢxᵢ ÷ Σfᵢ
  • Assumed mean method: choose an assumed mean a (a central class mark), find dᵢ = xᵢ − a, then x̄ = a + Σfᵢdᵢ ÷ Σfᵢ
  • Step-deviation method: also divide by the class size h: uᵢ = (xᵢ − a) ÷ h, then x̄ = a + h × (Σfᵢuᵢ ÷ Σfᵢ)
  • The value of the mean does not depend on the choice of a. The assumed mean and step-deviation methods are just simplified forms of the direct method.

    Grouped mean is an approximation: the 30 students' marks give an exact mean of 59.3, but the grouped table gives 62, because of the mid-point assumption.

    2. Mode of grouped data (Section 13.3)

    The class with the maximum frequency is the modal class. The mode lies inside it:

    Mode = l + [(f₁ − f₀) ÷ (2f₁ − f₀ − f₂)] × h

    where l = lower limit of the modal class, h = class size, f₁ = frequency of the modal class, f₀ = frequency of the class before it, f₂ = frequency of the class after it.

    3. Cumulative frequency (Section 13.4)

    The cumulative frequency of a class is the sum of the frequencies of all classes up to it. A less than type table uses upper limits (less than 10, less than 20, …); a more than type table uses lower limits (more than or equal to 0, 10, …).

    4. Median of grouped data (Section 13.4)

    Find n ÷ 2. The median class is the class whose cumulative frequency is greater than (and nearest to) n ÷ 2. Then:

    Median = l + [(n/2 − cf) ÷ f] × h

    where l = lower limit of the median class, cf = cumulative frequency of the class preceding it, f = frequency of the median class, h = class size.

    5. Which measure to use?

  • Mean uses all observations and helps compare distributions, but extreme values affect it.
  • Median is better when extreme values are present (typical wage, productivity).
  • Mode is best for the most popular item (favourite TV programme, most common vehicle colour).
  • Empirical relationship: 3 Median = Mode + 2 Mean.
  • Methods Step by Step

    Mean (step-deviation): make columns xᵢ, dᵢ = xᵢ − a, uᵢ = dᵢ ÷ h, fᵢuᵢ → add Σfᵢ and Σfᵢuᵢ → substitute.

    Mode: find the largest frequency → note l, h, f₁, f₀, f₂ → substitute.

    Median: add a cumulative-frequency column → find n ÷ 2 → locate the median class → note l, cf, f, h → substitute.

    Make sure classes are continuous before using the mode or median formula (for example, 118–126, 127–135 become 117.5–126.5, 126.5–135.5).

    Worked Examples (from the chapter)

    Marks of 30 students (classes 10–25, 25–40, …, 85–100 with frequencies 2, 3, 7, 6, 6, 6):

  • Direct: Σfᵢxᵢ = 1860, so x̄ = 1860 ÷ 30 = 62.
  • Assumed mean a = 47.5: Σfᵢdᵢ = 435, x̄ = 47.5 + 435 ÷ 30 = 62.
  • Step-deviation (h = 15): Σfᵢuᵢ = 29, x̄ = 47.5 + 15 × 29/30 = 62.
  • Mode: modal class 40–55, l = 40, f₁ = 7, f₀ = 3, f₂ = 6 → Mode = 40 + (4 ÷ 5) × 15 = 52. So most students scored about 52 while the average was 62.
  • Female teachers (7 classes from 15–25 to 75–85, frequencies 6, 11, 7, 4, 4, 2, 1): Σfᵢ = 35, Σfᵢxᵢ = 1390, so x̄ = 39.71 by all three methods.

    Family size (1–3, 3–5, 5–7, 7–9, 9–11 with frequencies 7, 8, 2, 2, 1): Mode = 3 + [1 ÷ (16 − 7 − 2)] × 2 ≈ 3.286.

    Marks of 53 students (0–10 to 90–100): n ÷ 2 = 26.5, median class 60–70 (cf 29), l = 60, cf = 22, f = 7, h = 10 → Median = 60 + (4.5 ÷ 7) × 10 ≈ 66.4.

    Heights of 51 girls (less-than table): n ÷ 2 = 25.5, median class 145–150, l = 145, cf = 11, f = 18, h = 5 → Median ≈ 149.03 cm.

    Missing frequencies (median 525, total 100): cumulative frequency before 500–600 is 36 + x, so 525 = 500 + [(50 − 36 − x) ÷ 20] × 100 → x = 9, and x + y = 24 → y = 15.

    Board Exam Focus

  • Almost every paper has one mean/median/mode question with a full table — write every column neatly.
  • "Find the missing frequency" questions use the mean or median formula backwards (as in Example 8).
  • Convert "less than" or "more than" tables into class frequencies first (as in the heights example).
  • Formula Sheet

  • Class mark = (upper limit + lower limit) ÷ 2
  • Direct: x̄ = Σfᵢxᵢ ÷ Σfᵢ
  • Assumed mean: x̄ = a + Σfᵢdᵢ ÷ Σfᵢ
  • Step-deviation: x̄ = a + h × (Σfᵢuᵢ ÷ Σfᵢ)
  • Mode = l + [(f₁ − f₀) ÷ (2f₁ − f₀ − f₂)] × h
  • Median = l + [(n/2 − cf) ÷ f] × h
  • 3 Median = Mode + 2 Mean
  • Common Mistakes

  • Using the cumulative frequency of the median class instead of the class before it as cf.
  • Taking f₀ and f₂ from the wrong classes (they are the classes just before and just after the modal class).
  • Forgetting to multiply by h in the step-deviation method.
  • Applying the formulas to discontinuous classes without adjusting them.
  • Treating the grouped mean as exact — it is an approximation.
  • 💡 Key Learning Points

    • ✓Find the mean of grouped data by the direct, assumed mean and step-deviation methods — all three give the same answer.
    • ✓Use class marks as representatives of each class; the grouped mean is an approximation of the exact mean.
    • ✓Find the mode of grouped data using Mode = l + [(f₁ − f₀) ÷ (2f₁ − f₀ − f₂)] × h.
    • ✓Build less-than and more-than cumulative frequency tables and use them to locate the median class.
    • ✓Find the median using Median = l + [(n/2 − cf) ÷ f] × h, and choose the right measure for a real situation.

    👨‍🏫 Teaching Tips

    • →Start with the book's Activity 2: let groups collect real class data (marks, temperatures, heights) and group it themselves.
    • →Solve the same 30-student marks table by all three mean methods side by side to show they agree.
    • →Colour-code the modal class and its neighbours (f₀, f₁, f₂) on the board before substituting.
    • →Have students build the cumulative frequency column aloud, one row at a time, before searching for n ÷ 2.
    • →Discuss why 59.3 (exact) and 62 (grouped) differ — it builds understanding of the mid-point assumption.
    • →Use a 'which measure?' quiz with real situations (typical wage, most popular colour, class average).
    • →Give missing-frequency problems as puzzles to practise the formulas in reverse.

    📋 Assessment Questions

    1. Can the student compute the mean of a grouped distribution by the step-deviation method?
    2. Can the student identify the modal class and find the mode correctly?
    3. Can the student build a cumulative frequency table and locate the median class?
    4. Can the student find missing frequencies when the mean or median is given?
    5. Can the student explain when the median is a better measure than the mean?

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