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 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
Mode may not exist at all — every value appears once, so no value repeats (Illustration 32).
A mode at the start is not a representative
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:
| Symbol | Meaning |
|---|---|
| L | Lower boundary point of the modal class |
| fm | Frequency of the modal class |
| f₁ | Frequency of the class prior to the modal class |
| f₂ | Frequency of the class succeeding the modal class |
| c | Class length of the modal class |
Two conditions, strictly
Solved Example
Problem
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.
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 – 40 | 40 – 60 | 60 – 80 | 80 – 100 | 100 – 120 |
|---|---|---|---|---|---|
| No. of companies | 2 | 13 | 22 | 9 | 4 |
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.
f₁
prior class
fm
modal class
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
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
Use the empirical formula instead
It comes from Karl Pearson's 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
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
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 problemsRaw data, by inspection — Illustration 29
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.
| Value | 0 | 1 | 2 | 3 | 4 | 5 | 7 |
|---|---|---|---|---|---|---|---|
| Times repeated | 1 | 2 | 7 | 1 | 2 | 1 | 1 |
Mo = 2 books
- Count repetitions: 2 appears 7 times, 4 twice, 1 twice, and the rest once.
- 7 is the highest repetition → Mo = 2.
Discrete, max frequency — Illustration 30
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 defects | 0 | 1 | 2 | 3 | 4 | 5 |
|---|---|---|---|---|---|---|
| No. of TV sets | 45 | 22 | 18 | 10 | 6 | 4 |
| Defects x | 0 | 1 | 2 | 3 | 4 | 5 |
|---|---|---|---|---|---|---|
| f | 45 | 22 | 18 | 10 | 6 | 4 |
Mo = 0 (by definition)
Note: it cannot be used as the measure of central tendency here — use mean/median, or the empirical formula.
- Highest frequency 45 belongs to x = 0 → Mo = 0.
- But 0 sits at the beginning of the data, so it is not a representative average.
Bimodal — Illustration 31
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 trips | 1 | 2 | 4 | 5 | 6 | 7 |
|---|---|---|---|---|---|---|
| No. of drivers | 3 | 7 | 4 | 7 | 2 | 1 |
| Trips x | 1 | 2 | 4 | 5 | 6 | 7 |
|---|---|---|---|---|---|---|
| f | 3 | 7 | 4 | 7 | 2 | 1 |
Mo = 2 and 5 (bimodal distribution)
- Maximum frequency = 7, shared by x = 2 and x = 5.
- The distribution is bimodal → Mo = 2 and Mo = 5.
No mode possible — Illustration 32
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
- Each value appears exactly once.
- 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
The following table gives output of workers in a factory. Find the modal output.
| Output (no. of items) | 150 - 160 | 160 - 170 | 170 - 180 | 180 - 190 | 190 - 200 | 200 - 210 | 210 - 220 | 220 - 230 |
|---|---|---|---|---|---|---|---|---|
| No. of workers | 4 | 5 | 19 | 33 | 48 | 22 | 12 | 6 |
| Output | 150–160 | 160–170 | 170–180 | 180–190 | 190–200 | 200–210 | 210–220 | 220–230 |
|---|---|---|---|---|---|---|---|---|
| f | 4 | 5 | 19 | 33 | 48 | 22 | 12 | 6 |
Mo = 190 + (48 − 33) / (96 − 33 − 22) × 10 = 190 + 150/41
Modal output = 193.66 items
- Modal class = 190 – 200 (max f = 48) → L = 190, fm = 48, f₁ = 33, f₂ = 22, c = 10.
- Denominator = 2(48) − 33 − 22 = 41.
- Mo = 190 + (15 / 41) × 10 = 190 + 3.6585 = 193.6585.
Inclusive classes — Illustration 34
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 bottles | 0 - 3 | 4 - 7 | 8 - 11 | 12 - 15 | 16 - 19 | 20 - 23 |
|---|---|---|---|---|---|---|
| No. of days | 3 | 11 | 16 | 20 | 18 | 12 |
| Bottles | 0 – 3 | 4 – 7 | 8 – 11 | 12 – 15 | 16 – 19 | 20 – 23 |
|---|---|---|---|---|---|---|
| f | 3 | 11 | 16 | 20 | 18 | 12 |
| Boundary | −0.5 – 3.5 | 3.5 – 7.5 | 7.5 – 11.5 | 11.5 – 15.5 | 15.5 – 19.5 | 19.5 – 23.5 |
Mo = 11.5 + (20 − 16) / (40 − 16 − 18) × 4 = 11.5 + 16/6
Mode = 14.17 bottles
- Modal class 12 – 15 (f = 20) is inclusive → boundaries 11.5 – 15.5, so L = 11.5, c = 4.
- f₁ = 16, fm = 20, f₂ = 18 → denominator = 40 − 16 − 18 = 6.
- 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
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 - 25 | 25 - 30 | 30 - 35 | 35 - 40 | 40 - 45 | 45 - 50 | 50 - 55 |
|---|---|---|---|---|---|---|---|
| No. of orders | 2 | 5 | 7 | 5 | 6 | 7 | 3 |
| Hours | 20–25 | 25–30 | 30–35 | 35–40 | 40–45 | 45–50 | 50–55 |
|---|---|---|---|---|---|---|---|
| f | 2 | 5 | 7 | 5 | 6 | 7 | 3 |
| cf | 2 | 7 | 14 | 19 | 25 | 32 | 35 |
Mo = 3M − 2x̄ = 3(38.5) − 2(38.36) = 38.78
Mode = 38.78 hours
- Max frequency 7 appears for two classes → the L + … formula is unusable.
- Mean (short-cut, A = 37.5, c = 5): 37.5 + (6 / 35) × 5 = 38.36.
- Median class of the 17.5th observation is 35 – 40 → M = 35 + (17.5 − 14)/5 × 5 = 38.5.
- Mo = 3(38.5) − 2(38.36) = 115.5 − 76.72 = 38.78.
Empirical (mixed + unequal) — Illustration 36
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 visits | 1 | 2 | 3 | 4 - 7 | 7 - 10 | 10 - 15 |
|---|---|---|---|---|---|---|
| No. of patients | 7 | 11 | 18 | 9 | 4 | 1 |
| Visits | 1 | 2 | 3 | 4 – 7 | 7 – 10 | 10 – 15 |
|---|---|---|---|---|---|---|
| f | 7 | 11 | 18 | 9 | 4 | 1 |
| Mid x | 1 | 2 | 3 | 5.5 | 8.5 | 12.5 |
| cf | 7 | 18 | 36 | 45 | 49 | 50 |
Mo = 3(3) − 2(3.58) = 1.84
Mode = 1.84 visits
- Mixed distribution with unequal class lengths → empirical formula.
- Mean = Σfx / n = 179 / 50 = 3.58.
- Median = value of the 25th observation = 3 (cf reaches 36 at x = 3).
- Mo = 3(3) − 2(3.58) = 9 − 7.16 = 1.84.
Graphical, equal classes
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 - 40 | 40 - 60 | 60 - 80 | 80 - 100 | 100 - 120 |
|---|---|---|---|---|---|
| No. of companies | 2 | 13 | 22 | 9 | 4 |
| Profit (₹ thousand) | 20 – 40 | 40 – 60 | 60 – 80 | 80 – 100 | 100 – 120 |
|---|---|---|---|---|---|
| Companies | 2 | 13 | 22 | 9 | 4 |
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)
- Tallest rectangle = 60 – 80, top AB; neighbours 40 – 60 (CD) and 80 – 100 (EF).
- Draw AE and BD; they cross at P.
- 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
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 x | 1 - 4 | 5 - 8 | 9 - 12 | 13 - 16 | 17 - 20 | 21 - 24 |
|---|---|---|---|---|---|---|
| No. of buses | 4 | 7 | 12 | 19 | 9 | 3 |
| Seats | 1 – 4 | 5 – 8 | 9 – 12 | 13 – 16 | 17 – 20 | 21 – 24 |
|---|---|---|---|---|---|---|
| f | 4 | 7 | 12 | 19 | 9 | 3 |
| Boundary | 0.5 – 4.5 | 4.5 – 8.5 | 8.5 – 12.5 | 12.5 – 16.5 | 16.5 – 20.5 | 20.5 – 24.5 |
OQ = 14.2 empty seats
- Inclusive limits → boundaries 0.5 – 4.5, 4.5 – 8.5, …, 20.5 – 24.5 before drawing.
- Tallest rectangle = 12.5 – 16.5 (f = 19); diagonals cross over the modal class.
- The perpendicular lands at Q → OQ = 14.2.
Graphical, unequal classes — Illustration 38
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 - 210 | 210 - 220 | 220 - 240 | 240 - 260 | 260 - 300 |
|---|---|---|---|---|---|
| No. of days | 4 | 13 | 36 | 16 | 8 |
| Share price | 200 – 210 | 210 – 220 | 220 – 240 | 240 – 260 | 260 – 300 |
|---|---|---|---|---|---|
| Length | 10 | 10 | 20 | 20 | 40 |
| f | 4 | 13 | 36 | 16 | 8 |
| Proportionate f = f/length × 10 | 4 | 13 | 18 | 8 | 2 |
OQ = ₹227
Construction gives 226.67 — the graph reads 227.
- Class lengths are unequal → proportionate frequencies with minimum length 10: 4, 13, 18, 8, 2.
- Draw the histogram on those heights; tallest bar = 220 – 240.
- 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
| Case | Statement |
|---|---|
| Raw data | Mo = value repeated the most number of times |
| How you find it | By inspection for raw data and for discrete frequency distributions — no calculation needed |
| Discrete frequency | Mo = value with maximum frequency |
| Continuous (equal classes, one peak) | Mo = L + (fm − f₁)/(2fm − f₁ − f₂) × c |
| When the formula fails | Mode = 3 × Median − 2 × Mean |
| Unequal classes | Use the graphical method, or compute proportionate frequencies = (f / class length) × minimum class length first |
| Graphical method | Diagonals AE and BD cross at P → drop a perpendicular to Q → OQ = mode |
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.