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Measures of Central Tendency — chapter notes

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1. Three measures of the centre

A measure of central tendency is one number that represents a whole data set.

  • Mean xˉ\bar{x}: the sum of the values divided by the number of values (the fair share).
  • Median: the middle value of the data arranged in order.
  • Mode: the value that occurs most often (a set may have one mode, several modes or none that stands out).

The mean uses every value, so an extreme value pulls it; the median is not affected by extreme values.

Three ways to say where the data is centred.
MeasureHow it is foundThink of it as
Meansum of all values ÷\div number of valuesthe fair share
Medianmiddle value of the arranged datathe halfway point
Modevalue with the highest frequencythe most common value
One data set, three measures of the centre.

Formulas

  • Mean of raw data
    xˉ=∑xn\bar{x} = \dfrac{\sum x}{n}

Key terms

Mean

The sum of all values divided by the number of values: xˉ=∑xn\bar{x} = \dfrac{\sum x}{n}.

Median

The middle value of the arranged data (the mean of the two middle values when nn is even).

Mode

The value with the highest frequency.

2. Mean of raw data

Add all the values and divide by how many there are.

Example: for 12,7,15,9,7,18,212, 7, 15, 9, 7, 18, 2 the sum is 7070 and the mean is 707=10\dfrac{70}{7} = 10.

Useful facts: if every value is increased by kk the mean increases by kk; if every value is multiplied by kk the mean is multiplied by kk. When the mean is given, total = mean ×\times number of values finds a missing value or the effect of replacing a value.

The mean of raw data.
Mean $10$, median $9$, mode $7$ for the same data.
MeasureWorkingResult
Mean12+7+15+9+7+18+27=707\dfrac{12 + 7 + 15 + 9 + 7 + 18 + 2}{7} = \dfrac{70}{7}1010
Arranged data2,7,7,9,12,15,182, 7, 7, 9, 12, 15, 18
Medianmiddle (4th) of 77 values99
Mode77 occurs twice, the rest once77
When one value changes, adjust the total, not the mean.
StepWorking
Old total12×18=21612 \times 18 = 216
Replace 99 by 2121216−9+21=228216 - 9 + 21 = 228
New mean22812=19\dfrac{228}{12} = 19
Shortcuttotal rises by 1212, so the mean rises by 1212=1\dfrac{12}{12} = 1

Formulas

  • Total from the mean
    sum=xˉ×n\text{sum} = \bar{x} \times n

Key terms

Total

The sum of all the values, equal to mean ×\times number of values.

3. Median and mode of ungrouped data

Median. Arrange the values in order. If nn is odd, the median is the n+12\dfrac{n + 1}{2}th value. If nn is even, it is the mean of the n2\dfrac{n}{2}th and the next value.

Example: 23,24,27,27,29,31,35,4023, 24, 27, 27, 29, 31, 35, 40 (n=8n = 8): median =27+292=28= \dfrac{27 + 29}{2} = 28.

Mode. The value that occurs most often: here 2727. A data set can have two modes (bimodal).

Always arrange first.
With $8$ values the median is the mean of the middle two.
MeasureWorkingResult
Mean2368\dfrac{236}{8}29.529.5
Arranged data23,24,27,27,29,31,35,4023, 24, 27, 27, 29, 31, 35, 40
Median4th+5th2=27+292\dfrac{4\text{th} + 5\text{th}}{2} = \dfrac{27 + 29}{2}2828
Mode2727 occurs twice2727

Key terms

Arranged data

Data written in ascending (or descending) order; needed before finding the median.

Bimodal

Data with two values tied for the highest frequency.

4. Frequency distribution of single values

Each value xx is listed with its frequency ff.

  • Mean: xˉ=∑fx∑f\bar{x} = \dfrac{\sum fx}{\sum f}.
  • Median: make a cumulative frequency column; with nn observations take the n+12\dfrac{n + 1}{2}th (odd nn) or the mean of the n2\dfrac{n}{2}th and next (even nn).
  • Mode: the value with the greatest frequency.

Example: goals in 4040 matches: ∑fx=82\sum fx = 82, mean 2.052.05, median 22, mode 11.

$\bar{x} = \dfrac{\sum fx}{\sum f}$ for a frequency distribution.
Goals xxMatches fffxfx
005500
1112121212
22991818
33772121
44441616
55331515
Total∑f=40\sum f = 40∑fx=82\sum fx = 82
Mean $\dfrac{82}{40} = 2.05$; mode $1$ (frequency $12$); median $2$ (the $20$th and $21$st values lie in the cumulative $26$).
Goals xxMatches fffxfxCumulative frequency
00550055
11121212121717
229918182626
337721213333
444416163737
553315154040
Total40408282
  • matches
The tallest bar marks the mode: $1$ goal.

Formulas

  • Mean of a frequency distribution
    xˉ=∑fx∑f\bar{x} = \dfrac{\sum fx}{\sum f}

Key terms

Frequency

The number of times a value (or class) occurs.

Cumulative frequency

The running total of frequencies up to and including a class or value.

5. Grouped data, class marks and the direct method

In grouped data each class is represented by its class mark x=lower limit+upper limit2x = \dfrac{\text{lower limit} + \text{upper limit}}{2}.

  • Continuous classes (2020–3030, 3030–4040): class mark 2525, 3535, …\ldots
  • Discontinuous classes (2020–2929, 3030–3939): class mark 24.524.5, 34.534.5, …\ldots

Direct method: find xx, then fxfx, then xˉ=∑fx∑f\bar{x} = \dfrac{\sum fx}{\sum f}.

Example: reading minutes with ∑f=50\sum f = 50 and ∑fx=2260\sum fx = 2260 give xˉ=45.2\bar{x} = 45.2.

The class mark is the middle of a class and stands for every value in it.
Type of classExampleClass mark
Continuous2020–3030, 3030–404020+302=25\dfrac{20 + 30}{2} = 25
Discontinuous (inclusive)2020–2929, 3030–393920+292=24.5\dfrac{20 + 29}{2} = 24.5
General ruleclass limits ll and uul+u2\dfrac{l + u}{2}
The direct method in four steps.
Mean $\dfrac{2260}{50} = 45.2$ minutes.
ClassffClass mark xxfxfx
20–30662525150150
30–4011113535385385
40–5015154545675675
50–6012125555660660
60–70666565390390
Total505022602260
Mean $\dfrac{1790}{40} = 44.75$ pages.
ClassffClass mark xxfxfx
20–294424.524.59898
30–399934.534.5310.5310.5
40–49141444.544.5623623
50–598854.554.5436436
60–695564.564.5322.5322.5
Total404017901790

Formulas

  • Class mark
    x=l+u2x = \dfrac{l + u}{2}
  • Direct method
    xˉ=∑fx∑f\bar{x} = \dfrac{\sum fx}{\sum f}

Key terms

Class mark

The middle value of a class: half the sum of its lower and upper limits.

Continuous class

A class whose upper limit is the next class's lower limit, such as 2020–3030, 3030–4040.

Discontinuous class

A class with a gap between classes, such as 2020–2929, 3030–3939.

6. Short-cut (assumed mean) and step-deviation methods

Choose an assumed mean aa (a class mark near the middle).

  • Short-cut: d=x−ad = x - a and xˉ=a+∑fd∑f\bar{x} = a + \dfrac{\sum fd}{\sum f}.
  • Step deviation: with equal class width hh, u=x−ahu = \dfrac{x - a}{h} and xˉ=a+h×∑fu∑f\bar{x} = a + h \times \dfrac{\sum fu}{\sum f}.

All three methods give the same mean. Example: electricity data, a=150a = 150: 150+−6050=148.8150 + \dfrac{-60}{50} = 148.8; step deviation with h=20h = 20: 150+20×−350=148.8150 + 20 \times \dfrac{-3}{50} = 148.8.

Smaller numbers, same mean.
QuantityMeaningFormula
aaassumed mean, chosen near the middle (a class mark)
dddeviation of a class mark from aad=x−ad = x - a
∑fd\sum fdtotal of f×df \times d (may be negative)
Meanassumed mean plus the average deviationxˉ=a+∑fd∑f\bar{x} = a + \dfrac{\sum fd}{\sum f}
Mean $= 150 + \dfrac{-60}{50} = 148.8$ units.
Classffxxd=x−150d = x - 150fdfd
100–12077110110−40-40−280-280
120–1401010130130−20-20−200-200
140–16018181501500000
160–180991701702020180180
180–200661901904040240240
Total5050−60-60
Step deviation shrinks the numbers further.
Mean $= 212.5 + 25 \times \dfrac{19}{50} = 222$ mm.
Classffxxu=x−212.525u = \dfrac{x - 212.5}{25}fufu
150–17544162.5162.5−2-2−8-8
175–20099187.5187.5−1-1−9-9
200–2251515212.5212.50000
225–2501212237.5237.5111212
250–27566262.5262.5221212
275–30044287.5287.5331212
Total50501919
Three routes, one answer.
MethodWorking for the electricity figuresMean
Direct744050\dfrac{7440}{50}148.8148.8
Assumed mean a=150a = 150150+−6050150 + \dfrac{-60}{50}148.8148.8
Step deviation a=150a = 150, h=20h = 20150+20×−350150 + 20 \times \dfrac{-3}{50}148.8148.8

Formulas

  • Short-cut method
    xˉ=a+∑fd∑f\bar{x} = a + \dfrac{\sum fd}{\sum f}
  • Step-deviation method
    xˉ=a+h×∑fu∑f\bar{x} = a + h \times \dfrac{\sum fu}{\sum f}

Key terms

Assumed mean

A convenient value aa, usually a class mark near the middle, used to reduce the arithmetic.

Deviation

d=x−ad = x - a, which can be negative.

Step deviation

u=x−ahu = \dfrac{x - a}{h}, the deviation divided by the class width.

7. Missing frequency and changed data

Missing frequency. If the mean is given and one frequency yy is unknown, write ∑f\sum f and ∑fx\sum fx in terms of yy and use ∑fx=mean×∑f\sum fx = \text{mean} \times \sum f.

Example: frequencies 6,8,12,y,46, 8, 12, y, 4 in classes 1010–2020 to 5050–6060 with mean 34.534.5: 930+45y=34.5(30+y)930 + 45y = 34.5(30 + y), so y=10y = 10. With two unknowns, use the total frequency as a second equation.

Changed data. Work with totals: replacing 99 by 2121 in 1212 numbers of mean 1818 gives 216−9+2112=19\dfrac{216 - 9 + 21}{12} = 19. Combined mean =n1xˉ1+n2xˉ2n1+n2= \dfrac{n_1\bar{x}_1 + n_2\bar{x}_2}{n_1 + n_2}.

The unknown frequency appears on both sides.
Always substitute back to check the mean.
StepWorking
Class marks15,25,35,45,5515, 25, 35, 45, 55
Totals∑f=30+y\sum f = 30 + y and ∑fx=930+45y\sum fx = 930 + 45y
Use the mean930+45y=34.5(30+y)=1035+34.5y930 + 45y = 34.5(30 + y) = 1035 + 34.5y
Solve10.5y=10510.5y = 105, so y=10y = 10
Check930+45040=138040=34.5\dfrac{930 + 450}{40} = \dfrac{1380}{40} = 34.5
When one value changes, adjust the total, not the mean.
StepWorking
Old total12×18=21612 \times 18 = 216
Replace 99 by 2121216−9+21=228216 - 9 + 21 = 228
New mean22812=19\dfrac{228}{12} = 19
Shortcuttotal rises by 1212, so the mean rises by 1212=1\dfrac{12}{12} = 1

Formulas

  • Equation for a missing frequency
    ∑fx=mean×∑f\sum fx = \text{mean} \times \sum f

Key terms

Combined mean

n1xˉ1+n2xˉ2n1+n2\dfrac{n_1\bar{x}_1 + n_2\bar{x}_2}{n_1 + n_2} for two groups.

8. Median class and modal class of grouped data

  • Median class: find n2\dfrac{n}{2} and the cumulative frequencies; the median class is the first class whose cumulative frequency is at least n2\dfrac{n}{2}.
  • Modal class: the class with the highest frequency.

Example: ages of 5050 members, cumulative frequencies 7,19,28,42,48,507, 19, 28, 42, 48, 50: n2=25\dfrac{n}{2} = 25 lies in 4040–5050 (median class); the highest frequency 1414 gives the modal class 5050–6060. The two can be different classes.

Not in the ICSE 2027 syllabus: calculating the median or mode of grouped data by formula; only the median class and the modal class are identified.

Modal class $50$–$60$ (frequency $14$); median class $40$–$50$ (cumulative frequency $28 \ge 25$).
ClassFrequencyCumulative frequency
20–307777
30–4012121919
40–50992828
50–6014144242
60–70664848
70–80225050
Median class: cumulative frequency decides.
  • members
The tallest bar is the class $50$–$60$: the modal class.
Half of $50$ is $25$; the first cumulative frequency $\ge 25$ is $28$: median class $40$–$50$.
Age (years)ffCumulative frequency
20–307777
30–4012121919
40–50992828
50–6014144242
60–70664848
70–80225050
Total5050

Key terms

Median class

The first class whose cumulative frequency reaches n2\dfrac{n}{2}.

Modal class

The class with the highest frequency.

Exam tips

How marks are awarded

  • Mean, median or mode of raw data (2 marks): sum or arranged data shown 1; answer 1.
  • Mean of a frequency distribution or grouped data (3–4 marks): class marks 1; products or deviations 1; totals 1; mean 1.
  • Missing frequency (3–4 marks): totals in yy 1; equation 1; yy 1; check 1.
  • 10-mark structured question: parts (a), (b), (c) usually 3 + 3 + 4; show all working in a table.

Common mistakes

  1. Finding the median without arranging the data first.
  2. Averaging the values of a frequency table without using the frequencies.
  3. Using the class limits instead of the class marks.
  4. Forgetting to multiply by hh at the end of the step-deviation method, or a sign slip when x<ax < a.
  5. Taking the class with the largest cumulative frequency (or the modal class) as the median class.
  6. Not checking a missing frequency by substituting back.