Class 11 Statistics Notes · GSEB

Mode

Mode — find the most frequent value by inspection, by formula and by histogram diagonals, plus the empirical fallback. GSEB Class 11 Statistics notes with solved sums, the formula anatomy and a construction lab.

Last updated: 5 Oct 2026

Notes

What Is a Mode?

Words marked with a dotted underline carry the question they usually appear in — tap them to reveal it.

Mode (Mo)
, or the value occurring with the maximum frequency in the given data. It is denoted by Mo.

Mode is the average businesses actually quote: the dish ordered by the most customers on Zomato, the kurta size that walks out of the store most often, the shoe size a footwear brand keeps restocking. No calculations — just the most popular choice.

Raw data — count the repeats

1, 0, 2, 2, 3, 4, 2, 7, 2, 2, 5, 4, 2, 1, 2

Mo = 2

The value 2 appears 7 times — more than anything else (Illustration 29).

Discrete — highest frequency

Defects x = 0–5 with f = 45, 22, 18, 10, 6, 4

Mo = 0

Maximum frequency 45 sits on x = 0 — at the very start of the data (Illustration 30).

Bimodal — two peaks

Trips x = 1, 2, 4, 5, 6, 7 with f = 3, 7, 4, 7, 2, 1

Mo = 2 and 5

Two values share the maximum frequency 7 — the distribution is bimodal (Illustration 31).

No mode at all

Patients per hour: 3, 5, 4, 2, 7, 8

Mode cannot be found

— every value appears once, so no value repeats (Illustration 32).

A mode at the start is not a representative

By definition the defects data above has Mo = 0 — but 0 sits at the edge of the distribution, so it does not represent a “typical” TV set. For such data choose the mean or the median, or find the mode with the empirical formula once you know the mean and median.

Grouped Data — The Modal Class Formula

For continuous classes, the class with the maximum frequency is the modal class, and the mode is read inside it:

Grouped (continuous) mode

Mo=L+fm−f12fm−f1−f2×cM_o = L + \frac{f_m - f_1}{2f_m - f_1 - f_2} \times c
The formula needs two neighbours — and equal class lengths.
SymbolMeaning
LLower boundary point of the modal class
fmFrequency of the modal class
f₁Frequency of the class prior to the modal class
f₂Frequency of the class succeeding the modal class
cClass length of the modal class

Two conditions, strictly

The formula works only when (1) all classes have equal class lengths and (2) the maximum frequency belongs to one single class. Break either rule and the flowchart below tells you where to go.

Solved Example

Problem

The following table gives output of workers in a factory. Find the modal output. Output (items): 150–160, 160–170, 170–180, 180–190, 190–200, 200–210, 210–220, 220–230 Workers: 4, 5, 19, 33, 48, 22, 12, 6

Solution

Modal output = 193.66 items

Histogram Mode Finder — build the cross-diagonals

The graphical method works for equal and unequal class lengths, but only for unimodal distributions. Watch the bars grow, the diagonals cross at P, and the perpendicular land at Q.

Histogram Mode Finder — build the cross-diagonals yourself

Profits (₹ thousand) of 50 small-scale industrial units — equal class lengths, graphical method.

Data as given

Equal class lengths (20 each) → the raw frequencies can go straight onto the histogram.

Profit (₹ thousand)20 – 4040 – 6060 – 8080 – 100100 – 120
No. of companies2132294
Tap any bar to read its f, height and boundaries. Steps 3 and 4 replay the construction from the book, one line at a time.

Formula Anatomy — where the numbers come from

Same numbers as Illustration 33 (worker output 190 – 200): f₁ = 33, fm = 48, f₂ = 22. The two gaps at the top of the modal bar are the numerator and the denominator of the formula.

33

f₁

prior class

15
26fm = 48

fm

modal class

22

f₂

succeeding class

Numerator (amber)

fm − f₁ = 48 − 33 = 15

Denominator (amber + emerald)

15 + (48 − 22) = 15 + 26 = 41

Result

190 + (15 / 41) × 10 = 193.66

Read the gaps, not the heights

The formula never uses f₁ or f₂ on their own — it uses how far they sit below fm. If both neighbours are equally far below (a perfectly symmetric peak), the two gaps are equal, the fraction becomes ½, and the mode sits exactly at the centre of the modal class.

When the Formula Fails → Empirical Formula

Every observation appears only once — no mode exists

More than one class shares the maximum frequency (bimodal)

Class lengths are unequal

Mixed distribution (discrete values + classes together)

One tail is too extended — the peak is not representative

any of these firesabandon the L + … formula

Use the empirical formula instead

Karl Pearson's empirical formula

Mo=3M−2xˉM_o = 3M - 2\bar{x}

It comes from relation (Mean − Mode) = 3 (Mean − Median), rearranged for the mode. The value it returns can even be negative — that is a valid answer, not an error.

What Mo = 3M − 2x̄ is saying

In moderately skewed data the mean is pulled furthest from the peak, the median sits in between, and the mode lags behind: Mean − Mode = 3 (Mean − Median). Rearranged, the mode is what is left after you take the median three times and the mean twice.

Mean 38.36, Median 38.5 → Mo = 3(38.5) − 2(38.36) = 38.78 hours

Illustration 35 — two classes tie at frequency 7, so the empirical formula takes over.

Graphical Construction, Step by Step

Tall bar + neighbours

1/4

Draw the histogram. The tallest rectangle belongs to the modal class — label its top AB (A on the left, B on the right).

The two neighbouring rectangles get CD (left neighbour, D against A) and EF (right neighbour, E against B).

Worked Example Gallery

Mode — Solved Practicals

11 problems

Raw data, by inspection — Illustration 29

Full question

The numbers of books purchased by each of the 15 persons from a book store are as follows.

1, 0, 2, 2, 3, 4, 2, 7, 2, 2, 5, 4, 2, 1, 2

Find the modal value for the number of books purchased.

Value0123457
Times repeated1271211

Mo = 2 books

  1. Count repetitions: 2 appears 7 times, 4 twice, 1 twice, and the rest once.
  2. 7 is the highest repetition → Mo = 2.

Discrete, max frequency — Illustration 30

Full question

TV sets assembled by a TV manufacturing company in a month are tested. The following table shows the numbers of defects per TV set. Find the mode for the number of defects.

No. of defects012345
No. of TV sets4522181064
Defects x012345
f4522181064

Mo = 0 (by definition)

Note: it cannot be used as the measure of central tendency here — use mean/median, or the empirical formula.

  1. Highest frequency 45 belongs to x = 0 → Mo = 0.
  2. But 0 sits at the beginning of the data, so it is not a representative average.

Bimodal — Illustration 31

Full question

The number of trips made by 24 taxi drivers in a day are shown in the following data. Find the modal number of trips.

No. of trips124567
No. of drivers374721
Trips x124567
f374721

Mo = 2 and 5 (bimodal distribution)

  1. Maximum frequency = 7, shared by x = 2 and x = 5.
  2. The distribution is bimodal → Mo = 2 and Mo = 5.

No mode possible — Illustration 32

Full question

The number of patients arriving at a clinic each hour during working hours of a day are recorded as follows.

3, 5, 4, 2, 7, 8

Find the mode for number of patients.

3, 5, 4, 2, 7, 8 — all frequencies are 1.

Mode cannot be found from the given data

  1. Each value appears exactly once.
  2. No value repeats → the most common observation does not exist.

A data set with all frequencies equal simply has no mode.

Continuous, by formula — Illustration 33

Full question

The following table gives output of workers in a factory. Find the modal output.

Output (no. of items)150 - 160160 - 170170 - 180180 - 190190 - 200200 - 210210 - 220220 - 230
No. of workers4519334822126
Output150–160160–170170–180180–190190–200200–210210–220220–230
f4519334822126

Mo = 190 + (48 − 33) / (96 − 33 − 22) × 10 = 190 + 150/41

Modal output = 193.66 items

  1. Modal class = 190 – 200 (max f = 48) → L = 190, fm = 48, f₁ = 33, f₂ = 22, c = 10.
  2. Denominator = 2(48) − 33 − 22 = 41.
  3. Mo = 190 + (15 / 41) × 10 = 190 + 3.6585 = 193.6585.

Inclusive classes — Illustration 34

Full question

The number of cold drink bottles sold by a shopkeeper on different days is shown in the following table. Find the mode for the number of cold drink bottles sold.

No. of bottles0 - 34 - 78 - 1112 - 1516 - 1920 - 23
No. of days31116201812
Bottles0 – 34 – 78 – 1112 – 1516 – 1920 – 23
f31116201812
Boundary−0.5 – 3.53.5 – 7.57.5 – 11.511.5 – 15.515.5 – 19.519.5 – 23.5

Mo = 11.5 + (20 − 16) / (40 − 16 − 18) × 4 = 11.5 + 16/6

Mode = 14.17 bottles

  1. Modal class 12 – 15 (f = 20) is inclusive → boundaries 11.5 – 15.5, so L = 11.5, c = 4.
  2. f₁ = 16, fm = 20, f₂ = 18 → denominator = 40 − 16 − 18 = 6.
  3. Mo = 11.5 + (4 / 6) × 4 = 11.5 + 2.6666 = 14.1666.

Convert inclusive limits to boundaries before reading L and c.

Empirical (two classes tie) — Illustration 35

Full question

The time between placing an order and its delivery was noted for a certain wholesaler as follows. Find the mode for this time.

Time (hours)20 - 2525 - 3030 - 3535 - 4040 - 4545 - 5050 - 55
No. of orders2575673
Hours20–2525–3030–3535–4040–4545–5050–55
f2575673
cf271419253235

Mo = 3M − 2x̄ = 3(38.5) − 2(38.36) = 38.78

Mode = 38.78 hours

  1. Max frequency 7 appears for two classes → the L + … formula is unusable.
  2. Mean (short-cut, A = 37.5, c = 5): 37.5 + (6 / 35) × 5 = 38.36.
  3. Median class of the 17.5th observation is 35 – 40 → M = 35 + (17.5 − 14)/5 × 5 = 38.5.
  4. Mo = 3(38.5) − 2(38.36) = 115.5 − 76.72 = 38.78.

Empirical (mixed + unequal) — Illustration 36

Full question

The following table shows the number of visits to the dentist of the persons having toothache. Find the mode for number of visits.

No. of visits1234 - 77 - 1010 - 15
No. of patients71118941
Visits1234 – 77 – 1010 – 15
f71118941
Mid x1235.58.512.5
cf71836454950

Mo = 3(3) − 2(3.58) = 1.84

Mode = 1.84 visits

  1. Mixed distribution with unequal class lengths → empirical formula.
  2. Mean = Σfx / n = 179 / 50 = 3.58.
  3. Median = value of the 25th observation = 3 (cf reaches 36 at x = 3).
  4. Mo = 3(3) − 2(3.58) = 9 − 7.16 = 1.84.

Graphical, equal classes

Full question

We shall understand this method with the help of the following data which are about the profits (in thousand ₹) of 50 small scale industrial units. Find the mode of profits of these companies using the graphical method.

Profit (thousand ₹)20 - 4040 - 6060 - 8080 - 100100 - 120
No. of companies2132294
Profit (₹ thousand)20 – 4040 – 6060 – 8080 – 100100 – 120
Companies2132294

Construction: A(60, 22), B(80, 22), D(60, 13), E(80, 9) → AE × BD cross at x = 68.18

OQ = ₹68 thousand (read from the histogram)

  1. Tallest rectangle = 60 – 80, top AB; neighbours 40 – 60 (CD) and 80 – 100 (EF).
  2. Draw AE and BD; they cross at P.
  3. Perpendicular from P meets the x-axis at Q.

The formula gives 68.18; the graph is read as 68 — ₹68 thousand.

Graphical, inclusive classes — Illustration 37

Full question

The following data show the number of empty seats per bus for the buses leaving from a depot. Find the modal number of empty seats using the graphical method.

No. of empty seats x1 - 45 - 89 - 1213 - 1617 - 2021 - 24
No. of buses47121993
Seats1 – 45 – 89 – 1213 – 1617 – 2021 – 24
f47121993
Boundary0.5 – 4.54.5 – 8.58.5 – 12.512.5 – 16.516.5 – 20.520.5 – 24.5

OQ = 14.2 empty seats

  1. Inclusive limits → boundaries 0.5 – 4.5, 4.5 – 8.5, …, 20.5 – 24.5 before drawing.
  2. Tallest rectangle = 12.5 – 16.5 (f = 19); diagonals cross over the modal class.
  3. The perpendicular lands at Q → OQ = 14.2.

Graphical, unequal classes — Illustration 38

Full question

The distribution of the share prices of a company on different days is given in the following table. Find the mode for the share prices using the graphical method.

Share price (₹)200 - 210210 - 220220 - 240240 - 260260 - 300
No. of days41336168
Share price200 – 210210 – 220220 – 240240 – 260260 – 300
Length1010202040
f41336168
Proportionate f = f/length × 104131882

OQ = ₹227

Construction gives 226.67 — the graph reads 227.

  1. Class lengths are unequal → proportionate frequencies with minimum length 10: 4, 13, 18, 8, 2.
  2. Draw the histogram on those heights; tallest bar = 220 – 240.
  3. Cross-diagonals → P → perpendicular → Q.

Advantages and Limitations

Advantages

  • It is easy to understand and calculate.
  • It can be found merely by inspection.
  • It is not affected by too large or too small values.
  • Its value can be found using graph.

Disadvantages

  • It is not rigidly defined.
  • There can be more than one mode for the given variable whereas sometimes the mode cannot be found.
  • It is not based on all observations.
  • It has less stability in sampling as compared to mean.
  • It is not suitable for further mathematical calculations.

Quick Reference

CaseStatement
Raw data
How you find itBy inspection for raw data and for discrete frequency distributions — no calculation needed
Discrete frequency
Continuous (equal classes, one peak)Mo = L + (fm − f₁)/(2fm − f₁ − f₂) × c
When the formula fails
Unequal classesUse the graphical method, or compute proportionate frequencies = (f / class length) × minimum class length first
Graphical method

Key Takeaways

Key Takeaways

  • Mode is the value that repeats the most — found by inspection for raw and discrete data.
  • Grouped data: the class with maximum frequency is the modal class; Mo = L + (fm − f₁)/(2fm − f₁ − f₂) × c needs equal classes and one single peak.
  • The gaps (fm − f₁) and (fm − f₂) are the whole formula — the anatomy diagram shows them as the coloured segments on the tallest bar.
  • Five situations break the formula (no repeats, bimodal, unequal, mixed, long tail) — each routes you to Mo = 3M − 2x̄, Karl Pearson’s empirical formula.
  • Graphical method: AB, CD, EF → AE × BD → P → perpendicular → Q → OQ = mode; it survives unequal classes.
  • So what: restaurants size their menus, garment brands pick production sizes and shops reorder stock on mode — the most popular choice, not the average one.