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Class 10 · Mathematics

Chapter 13: Statistics

Revision notes, worked problems, a question bank, assertion and reason questions and answers to the NCERT exercises. Tap a group to open it; opening one closes the others.

13.1–13.2Mean of grouped dataDirect, assumed mean and step-deviation

Class mark

For grouped data we assume each class is centred at its class mark:

xᵢ = lower limit + upper limit2

Three methods

Direct: x̄ = ΣfᵢxᵢΣfᵢAssumed mean: x̄ = a + ΣfᵢdᵢΣfᵢ, dᵢ = xᵢ − aStep deviation: x̄ = a + (ΣfᵢuᵢΣfᵢ) × h, uᵢ = xᵢ − ah
  • All three give the same mean. The last two only make the arithmetic easier.
  • Choose a (the assumed mean) as a class mark near the middle of the table.
  • Use the direct method when xᵢ and fᵢ are small; step deviation when the class marks are large and the class sizes equal.
  • With unequal class sizes, the step-deviation method still works if h divides all the dᵢ.

Example

Daily wages of 50 workers (Ex 13.1, Q2), step deviation with a = 550, h = 20:

Step-deviation method with a = 550, h = 20, uᵢ = (xᵢ − a)/h.

Classfᵢxᵢuᵢfᵢuᵢ
500 − 52012510−2−24
520 − 54014530−1−14
540 − 560855000
560 − 580657016
580 − 60010590220
Total50−12
x̄ = a + (ΣfᵢuᵢΣfᵢ) × h = 550 + (−1250) × 20 = 545.2

Finding a missing frequency

Write Σfᵢ and Σfᵢxᵢ in terms of the unknown f, set Σfᵢxᵢ / Σfᵢ equal to the given mean, and solve.

13.3Mode of grouped dataModal class and the formula

Modal class

The mode is the value that occurs most often. For grouped data, first find the modal class, the class with the highest frequency.

5–15615–251125–352135–452345–551455–655f₀f₁f₂Age of patients (years)modal class: the tallest barf₀, f₂: its neighboursmode ≈ 36.8 years
The mode lies in the class with the highest frequency, pulled towards the taller neighbour.

Formula

Mode = l + (f₁ − f₀2f₁ − f₀ − f₂) × h
  • l = lower limit of the modal class, h = class size
  • f₁ = frequency of the modal class, f₀ = of the class before it, f₂ = of the class after it
  • If the modal class is the first class, f₀ = 0; if it is the last, f₂ = 0.

When to use which

  • Mean: when every value matters (average marks, average income).
  • Mode: the most popular value (most common shoe size, most frequent number of cars).
  • Median: when extreme values would distort the mean (house prices, incomes).
13.4Median of grouped dataCumulative frequency and the formula

Cumulative frequency

The cumulative frequency (cf) of a class is the sum of the frequencies of all classes up to and including it. The total is n.

65–85485–1059105–12522125–14542145–16556165–18564185–20568n/2 = 34Monthly consumption (units): cumulative frequencymedian class: firstcf to pass n/2
Cumulative frequencies of the electricity data. The median class is 125 – 145.

Formula

Median = l + (n/2 − cff) × h
  • Median class: the first class whose cumulative frequency is greater than n/2.
  • l = lower limit of the median class, cf = cumulative frequency of the class before it,
  • f = frequency of the median class, h = class size.

Continuous classes

The formulas for the mode and the median need continuous classes. Classes like 118 – 126, 127 – 135 have a gap of 1: subtract 0.5 from each lower limit and add 0.5 to each upper limit to get 117.5 – 126.5, 126.5 – 135.5, …

'Less than' or 'below' tables already give cumulative frequencies; subtract consecutive values to get the class frequencies.

Empirical relation

3 Median = Mode + 2 Mean

This relation holds approximately for moderately skewed data and can be used to estimate one measure from the other two.

RefQuick referenceFormulas and slips

Formulas

MeasureFormula
Mean (direct)Σfᵢxᵢ / Σfᵢ
Mean (assumed)a + Σfᵢdᵢ / Σfᵢ
Mean (step deviation)a + (Σfᵢuᵢ / Σfᵢ) × h
Model + [(f₁ − f₀)/(2f₁ − f₀ − f₂)] × h
Medianl + [(n/2 − cf)/f] × h
Empirical3 Median = Mode + 2 Mean

Common slips

  • Using the cf of the median class instead of the class before it.
  • Choosing the median class from the frequencies instead of the cumulative frequencies.
  • Using f₀ and f₂ from the wrong classes.
  • Applying the formulas to discontinuous classes without adjusting.
  • Forgetting to multiply by h in the step-deviation method.