Mean of a List of Values

The mean (the arithmetic mean, or simply the average) of a list is the sum of the values divided by the number of values.

xˉ=∑xn=x1+x2+⋯+xnn\bar{x} = \frac{\sum x}{n} = \frac{x_1 + x_2 + \dots + x_n}{n}

Here ∑x\sum x (read “sigma xx”) stands for the sum of all the values and nn for how many there are. The mean is what each value would be if the total were shared out equally.

For example: eight students scored 34, 41, 28, 45, 37, 30, 42 and 39 marks out of 50 in a test. The sum is 296, so the mean is 2968=37\frac{296}{8} = 37 marks.

Turn it round: sum = mean ×\times number of values. Every question below about adding, removing or correcting a value uses it. If the mean of 12 numbers is 15.5, their sum is 12×15.5=18612 \times 15.5 = 186. If you are told the mean of the eight marks above is 37, the total 296 follows at once, and a missing mark can be found from it.

Adding with a working mean. When the values are close together, pick a round number near the middle, add only the differences from it, and share that out. With 40 as the working mean, the differences of the eight marks are −6,+1,−12,+5,−3,−10,+2,−1-6, +1, -12, +5, -3, -10, +2, -1, which add to −24-24. So

xˉ=40+−248=40−3=37\bar{x} = 40 + \frac{-24}{8} = 40 - 3 = 37

The same idea, used on a frequency table, is the assumed-mean method further down this page.

A zero is still a value. A batsman who scores 0 in an innings has played that innings. The zero adds nothing to the sum, but it counts in nn. A student who was absent is left out; a student who scored 0 is counted.

Where the mean lies. The mean is always between the smallest and the largest value, but it need not be one of the values: the mean of 3, 4 and 6 is 4134\frac{1}{3}. One very large or very small value pulls the mean towards itself. That is why the median is sometimes the better average for data such as incomes (see Median).

A Value Added, Removed or Replaced

Every question of this kind is the sum rule used twice: find the old sum, find the new sum and compare them. Chapter 5 has the word-problem versions with ages, salaries and runs; here are the bare statistics forms.

A value added. The mean of 14 values is 30. One more value is added and the mean becomes 31. Old sum: 14×30=42014 \times 30 = 420. New sum: 15×31=46515 \times 31 = 465. The new value is 465−420=45465 - 420 = 45.

The fast way to see it: the new value has to be the new mean, 31, and also hand 1 extra to each of the 14 old values. So it is 31+14×1=4531 + 14 \times 1 = 45.

value added=new mean+(old number of values)×(rise in the mean)\text{value added} = \text{new mean} + (\text{old number of values}) \times (\text{rise in the mean})

If the mean falls, the rise is negative and the value added is below the new mean.

A value removed. The mean of 25 values is 60. One value is taken out and the mean of the other 24 is 59. Old sum 25×60=150025 \times 60 = 1500, new sum 24×59=141624 \times 59 = 1416, so the value removed is 1500−1416=841500 - 1416 = 84. Fast way: the old mean plus 1 for each value left behind, 60+24×1=8460 + 24 \times 1 = 84.

A value replaced. The number of values stays the same, so the mean changes by new value−old valuen\frac{\text{new value} - \text{old value}}{n}. The mean of 16 values is 45 and the value 52 is replaced by 84. The sum goes up by 32, so the mean goes up by 3216=2\frac{32}{16} = 2, to 47. Turned round: if replacing one value raises the mean of 20 values by 1.5, the new value is 20×1.5=3020 \times 1.5 = 30 more than the old one.

Two parts that overlap. The mean of 11 values is 50, the mean of the first six is 49 and the mean of the last six is 52. The two parts together cover all 11 values and count the sixth one twice:

6×49+6×52−11×50=294+312−550=566 \times 49 + 6 \times 52 - 11 \times 50 = 294 + 312 - 550 = 56

So the sixth value is 56.

Wrongly Copied Values and the Corrected Mean

A mean worked out with a wrong value is corrected through the sum. Fix the sum, then divide again.

correct sum=wrong sum−wrong value+correct value\text{correct sum} = \text{wrong sum} - \text{wrong value} + \text{correct value}

One value misread. The mean of 30 values was found to be 42. Later it was noticed that the value 57 had been copied as 75. Wrong sum: 30×42=126030 \times 42 = 1260. Correct sum: 1260−75+57=12421260 - 75 + 57 = 1242. Correct mean: 124230=41.4\frac{1242}{30} = 41.4.

The quick way: the sum was 18 too big, so the mean was 1830=0.6\frac{18}{30} = 0.6 too big, and the correct mean is 42−0.6=41.442 - 0.6 = 41.4.

correct mean=wrong mean+correct value−wrong valuen\text{correct mean} = \text{wrong mean} + \frac{\text{correct value} - \text{wrong value}}{n}

Two values misread. Net the errors first. The mean of 40 values is 25, but 36 was taken as 63 and 18 was taken as 12. The first error added 27 too much and the second 6 too little, so the sum is 21 too big. The correct mean is 25−2140=25−0.525=24.47525 - \frac{21}{40} = 25 - 0.525 = 24.475.

A value wrongly included. The mean of 20 values is 18, but one of them, 37, should not have been counted at all. Now the number of values changes too:

20×18−3719=32319=17\frac{20 \times 18 - 37}{19} = \frac{323}{19} = 17

A value left out. The mean of 24 values was worked out as 50, and a 25th value, 75, was missed. The correct mean is 24×50+7525=127525=51\frac{24 \times 50 + 75}{25} = \frac{1275}{25} = 51.

[SSC Tip] Before you calculate, decide which of two things happened. A misread value keeps nn the same and only the sum changes. An extra value or a missing value changes both the sum and nn, and dividing by the old nn is then a mistake.

Means of Natural, Even and Odd Numbers and of Arithmetic Lists

A list that goes up in equal steps (an arithmetic progression) has a mean that needs no adding:

mean of an arithmetic list=first value+last value2\text{mean of an arithmetic list} = \frac{\text{first value} + \text{last value}}{2}

The values pair off from the two ends, first with last, second with second last, and every pair has the same sum. So the mean is the average of the two ends. It is also the middle value of the list.

List Sum Mean
First nn natural numbers 1,2,…,n1, 2, \dots, n n(n+1)2\frac{n(n+1)}{2} n+12\frac{n+1}{2}
First nn even numbers 2,4,…,2n2, 4, \dots, 2n n(n+1)n(n+1) n+1n + 1
First nn odd numbers 1,3,…,2n−11, 3, \dots, 2n - 1 n2n^2 nn

For example: the mean of the first 40 natural numbers is 412=20.5\frac{41}{2} = 20.5; of the first 40 even numbers, 41; of the first 40 odd numbers, 40.

Find the two ends first. For the mean of all the multiples of 7 between 1 and 100, the first is 7 and the last is 98, so the mean is 7+982=52.5\frac{7 + 98}{2} = 52.5. The number of terms (14) is not needed. For all the two-digit numbers the ends are 10 and 99, and the mean is 54.5.

Consecutive numbers. For an odd count of consecutive numbers, the mean is the middle one. Five consecutive even numbers with mean 26 are 22, 24, 26, 28 and 30. For an even count, the mean falls halfway between the two middle numbers.

Working back to nn. If the mean of the first nn natural numbers is 15, then n+12=15\frac{n+1}{2} = 15 and n=29n = 29.

Squares and cubes. These lists do not go up in equal steps, so the two-ends rule fails for them. The mean of the squares of the first nn natural numbers is (n+1)(2n+1)6\frac{(n+1)(2n+1)}{6}; for n=10n = 10 it is 11×216=38.5\frac{11 \times 21}{6} = 38.5, not 1+1002\frac{1 + 100}{2}. The mean of the first nn cubes is n(n+1)24\frac{n(n+1)^2}{4}.

Weighted Mean and the Combined Mean of Groups

When the values do not count equally, each value is multiplied by its weight:

xˉw=∑wx∑w\bar{x}_w = \frac{\sum wx}{\sum w}

For example: a shop buys 20 kg of rice at ₹ 40 a kg, 30 kg at ₹ 45 a kg and 50 kg at ₹ 52 a kg. The average price is not 40+45+523\frac{40 + 45 + 52}{3}, because much more rice was bought at the highest price. Weighting each price by its kilograms:

20×40+30×45+50×5220+30+50=800+1350+2600100=47.5\frac{20 \times 40 + 30 \times 45 + 50 \times 52}{20 + 30 + 50} = \frac{800 + 1350 + 2600}{100} = 47.5

So the average price is ₹ 47.50 a kg. A frequency table is the same idea, with the frequencies as the weights.

Combined mean of two groups.

xˉ=n1xˉ1+n2xˉ2n1+n2\bar{x} = \frac{n_1 \bar{x}_1 + n_2 \bar{x}_2}{n_1 + n_2}

Class A has 30 students with mean marks 64, and class B has 45 students with mean marks 54. Together:

30×64+45×5475=1920+243075=435075=58\frac{30 \times 64 + 45 \times 54}{75} = \frac{1920 + 2430}{75} = \frac{4350}{75} = 58

The plain average of 64 and 54 is 59, but B has more students, so the combined mean sits nearer to B's 54.

Three groups work the same way: all the sums over all the counts. Groups of 20, 30 and 50 with means 50, 60 and 70 have a combined mean of 1000+1800+3500100=63\frac{1000 + 1800 + 3500}{100} = 63.

Working back to the sizes of the groups. The combined mean divides the gap between the two group means in the inverse ratio of the group sizes:

n1n2=xˉ2−xˉxˉ−xˉ1\frac{n_1}{n_2} = \frac{\bar{x}_2 - \bar{x}}{\bar{x} - \bar{x}_1}

For the two classes, 54−5858−64=−4−6=23\frac{54 - 58}{58 - 64} = \frac{-4}{-6} = \frac{2}{3}, which is 30:4530 : 45. The group whose mean is nearer to the combined mean is the bigger group.

[SSC Tip] A combined mean must lie between the group means and nearer to the larger group. An option outside that range, or on the wrong side of the plain average, can be crossed out before any working.

Mean of a Discrete Frequency Table

When values repeat, the data come as a frequency table: each value xx with its frequency ff, the number of times it occurs. A row stands for ff copies of the same value, so it adds fxfx to the sum.

xˉ=∑fx∑f=∑fxN\bar{x} = \frac{\sum fx}{\sum f} = \frac{\sum fx}{N}

For example: the goals scored by a team in 40 matches.

Goals (xx) Matches (ff) fxfx
0 5 0
1 10 10
2 12 24
3 8 24
4 3 12
5 2 10
Total 40 80

The mean is 8040=2\frac{80}{40} = 2 goals a match.

Wrong answers to avoid.

  • Averaging the values 0 to 5 on their own gives 156=2.5\frac{15}{6} = 2.5. That treats every value as if it happened once.
  • Dividing ∑fx\sum fx by the number of rows gives 806\frac{80}{6}, more than 13 goals a match, which is bigger than every value in the table. A mean can never be outside the range of the values.
  • Averaging the frequencies, 406\frac{40}{6}, says nothing about goals at all.

Check the total of ff first. N=∑fN = \sum f is the number of observations, here the matches. A question may state it (“in 40 matches”); if your ff column does not add up to it, you have misread a number.

Rows with x=0x = 0 add nothing to ∑fx\sum fx, but their frequency still counts in NN. The 5 goalless matches are part of the 40.

A working mean on a table. With 2 as the working mean, the deviations d=x−2d = x - 2 are −2,−1,0,1,2,3-2, -1, 0, 1, 2, 3, and

∑fd=−10−10+0+8+6+6=0\sum fd = -10 - 10 + 0 + 8 + 6 + 6 = 0

so the mean is exactly 2. This is the assumed-mean method, used on a small table.

Grouped Data: Class Marks and the Direct Method

In grouped data the exact values inside a class are lost. All the table tells you is that, say, 15 workers earn between ₹ 300 and ₹ 350 a day. So each class is represented by its class mark, the middle of the class:

class mark=lower limit+upper limit2\text{class mark} = \frac{\text{lower limit} + \text{upper limit}}{2}

The class marks then play the part of xx, and the working is the same as for a discrete table. This is called the direct method.

Histogram of daily wages of 50 workers with class marks

The daily wages of 50 workers, with the class mark written at the foot of each bar:

Daily wage (₹) Workers (ff) Class mark (xx) fxfx
200-250 5 225 1125
250-300 11 275 3025
300-350 15 325 4875
350-400 13 375 4875
400-450 6 425 2550
Total 50 16450

xˉ=∑fx∑f=1645050=329\bar{x} = \frac{\sum fx}{\sum f} = \frac{16450}{50} = 329

The mean daily wage is ₹ 329.

Class marks without frequencies. The plain average of the five class marks is 325. It ignores how many workers are in each class. It happens to be close here because this table is nearly balanced; for a lopsided table it can be far off.

Inclusive classes. For classes written as 10-19, 20-29, 30-39, the class mark is still the average of the two written limits: 10+192=14.5\frac{10 + 19}{2} = 14.5 and 20+292=24.5\frac{20 + 29}{2} = 24.5. Making the classes continuous (9.5-19.5, 19.5-29.5) gives the same middles, so for the mean you do not need the boundaries. The median and the mode do need them (see Median).

The answer is an estimate. Each class has been replaced by its middle value, so the mean of grouped data is an estimate of the true mean of the workers' wages. The assumed-mean and step-deviation methods below give exactly the same estimate with less arithmetic.

The Assumed-Mean Method

With large class marks, every fxfx is a big multiplication. The assumed-mean method works with small deviations instead. Choose a class mark aa near the middle of the table (usually the one with the highest frequency), write d=x−ad = x - a for each class, and use

xˉ=a+∑fd∑f\bar{x} = a + \frac{\sum fd}{\sum f}

The marks of 50 students, with a=45a = 45:

Marks ff xx d=x−45d = x - 45 fdfd
10-20 3 15 −30-30 −90-90
20-30 6 25 −20-20 −120-120
30-40 12 35 −10-10 −120-120
40-50 16 45 0 0
50-60 8 55 10 80
60-70 5 65 20 100
Total 50 −150-150

xˉ=45+−15050=45−3=42\bar{x} = 45 + \frac{-150}{50} = 45 - 3 = 42

Why it works. Every value is aa plus its deviation, so the mean is aa plus the mean of the deviations. The choice of aa does not change the answer. Try a=35a = 35: the deviations become −20,−10,0,10,20,30-20, -10, 0, 10, 20, 30, the products add up to

∑fd=−60−60+0+160+160+150=350\sum fd = -60 - 60 + 0 + 160 + 160 + 150 = 350

and 35+35050=4235 + \frac{350}{50} = 42 again. A class mark near the middle only keeps the numbers smaller.

Signs. Classes below aa give negative fdfd and classes above give positive fdfd. Add the negatives and the positives separately (−330-330 and +180+180 here) and then combine them; this keeps the signs straight.

A rough check. The mean came out 3 below aa, and the table does have more students below the 40-50 class (21 of them) than above it (13). When ∑fd\sum fd is negative the mean is below aa; when it is positive the mean is above aa.

The Step-Deviation Method

When all the classes have the same width hh, every deviation dd is a multiple of hh. Dividing by hh leaves very small numbers:

u=x−ah,xˉ=a+h×∑fu∑fu = \frac{x - a}{h}, \qquad \bar{x} = a + h \times \frac{\sum fu}{\sum f}

It is the quickest of the three methods, and the one to use in the exam whenever the class marks are large.

The monthly electricity bills of 50 houses, with a=1100a = 1100 and h=200h = 200:

Bill (₹) ff xx uu fufu
400-600 4 500 −3-3 −12-12
600-800 10 700 −2-2 −20-20
800-1000 15 900 −1-1 −15-15
1000-1200 12 1100 0 0
1200-1400 6 1300 1 6
1400-1600 3 1500 2 6
Total 50 −35-35

xˉ=1100+200×−3550=1100−140=960\bar{x} = 1100 + 200 \times \frac{-35}{50} = 1100 - 140 = 960

The mean bill is ₹ 960. By the direct method the same table needs products like 15×90015 \times 900 and 6×13006 \times 1300, and a total of 48,000, before the division.

The uu column writes itself. It is just …,−2,−1,0,1,2,…\dots, -2, -1, 0, 1, 2, \dots counted out from the class you chose, so you can write it without working out a single class mark.

Multiplying back by hh. Do not stop at ∑fu∑f\frac{\sum fu}{\sum f}. Here it is −0.7-0.7, which is measured in class widths, so it must be multiplied by 200 before it is added to aa. An answer of 1100−0.7=1099.31100 - 0.7 = 1099.3 is wrong, and the fact that it hardly differs from aa is the giveaway.

Unequal widths. If one class is wider than the others, uu is not a whole number for it. Use the assumed-mean or the direct method for such a table.

[SSC Tip] In the exam, write only the ff and uu columns next to the question. For a table of five or six classes the whole working fits in two lines.

A Missing Frequency from a Given Mean

Some questions give the mean and hide one or two frequencies. Write the unknown frequency as a letter, build ∑f\sum f and ∑fx\sum fx (or ∑fu\sum fu) with it, and set the mean formula equal to the mean you were given.

One unknown, discrete table. The mean of this table is 31. Find pp.

xx 10 20 30 40 50
ff 5 8 pp 12 5

∑f=30+p\sum f = 30 + p and ∑fx=50+160+30p+480+250=940+30p\sum fx = 50 + 160 + 30p + 480 + 250 = 940 + 30p. So

940+30p30+p=31⇒940+30p=930+31p⇒p=10\frac{940 + 30p}{30 + p} = 31 \Rightarrow 940 + 30p = 930 + 31p \Rightarrow p = 10

A shorter route takes deviations from 30, the value whose frequency is missing. Then ∑fd=5(−20)+8(−10)+12(10)+5(20)=40\sum fd = 5(-20) + 8(-10) + 12(10) + 5(20) = 40, and the mean is 30+4030+p30 + \frac{40}{30 + p}. For a mean of 31 the fraction must be 1, so 30+p=4030 + p = 40 and p=10p = 10. Because the unknown sits in the row with deviation 0, it turns up only once.

Two unknowns, grouped table, total given. The 50 observations below have mean 34.4. Find f1f_1 and f2f_2.

Class 10-20 20-30 30-40 40-50 50-60
ff 6 f1f_1 15 f2f_2 4

The total gives one equation: 25+f1+f2=5025 + f_1 + f_2 = 50, so f1+f2=25f_1 + f_2 = 25. For the other, take a=35a = 35 and h=10h = 10. Then u=−2,−1,0,1,2u = -2, -1, 0, 1, 2 and ∑fu=−12−f1+f2+8=f2−f1−4\sum fu = -12 - f_1 + f_2 + 8 = f_2 - f_1 - 4, so

35+10×f2−f1−450=34.4⇒f2−f1−4=−3⇒f2−f1=135 + 10 \times \frac{f_2 - f_1 - 4}{50} = 34.4 \Rightarrow f_2 - f_1 - 4 = -3 \Rightarrow f_2 - f_1 = 1

With f1+f2=25f_1 + f_2 = 25, this gives f2=13f_2 = 13 and f1=12f_1 = 12.

Put the answer back. A pair with the two values swapped, f1=13f_1 = 13 and f2=12f_2 = 12, fits the total but not the mean. Ten seconds spent putting your frequencies back into the table settles which pair is right.

Changing Every Value, and the Sum of Deviations

When the same change is made to every value, the mean changes in the same way.

Change made to every value New mean
Add kk xˉ+k\bar{x} + k
Subtract kk xˉ−k\bar{x} - k
Multiply by kk kxˉk\bar{x}
Divide by kk (k≠0k \neq 0) xˉk\frac{\bar{x}}{k}
Replace xx by ax+bax + b axˉ+ba\bar{x} + b

The values 12, 15, 18, 21, 24 have mean 18. Add 5 to each and the mean is 23; multiply each by 3 and it is 54; replace each xx by 2x−32x - 3 and it is 2×18−3=332 \times 18 - 3 = 33. The new list is never needed.

Working backwards. Each value is reduced by 6 and then halved, and the new mean is 9. The old mean xˉ\bar{x} satisfies xˉ−62=9\frac{\bar{x} - 6}{2} = 9, so xˉ=24\bar{x} = 24. Undo the steps in reverse order: double, then add 6.

Changing units. The rule F=95C+32F = \frac{9}{5}C + 32 is an ax+bax + b change, so a mean temperature of 25∘C25^\circ\text{C} is 95×25+32=77∘F\frac{9}{5} \times 25 + 32 = 77^\circ\text{F}. A mean height of 1.6 m is 160 cm.

Deviations from the mean add up to zero.

∑(x−xˉ)=0\sum (x - \bar{x}) = 0

The eight marks at the start of this page had mean 37. Their deviations are −3,4,−9,8,0,−7,5,2-3, 4, -9, 8, 0, -7, 5, 2, and these add up to 0: the values above the mean exactly balance the ones below it. So if the deviations of five values from their mean are −5,8,x,−1,3-5, 8, x, -1, 3, then x=−5x = -5.

Deviations from some other number. About any number AA,

∑(x−A)=n(xˉ−A)\sum (x - A) = n(\bar{x} - A)

If the deviations of 8 values from 50 add up to −16-16, then 8(xˉ−50)=−168(\bar{x} - 50) = -16 and xˉ=48\bar{x} = 48. This is the working-mean idea once more.

Adding a constant moves the median and the mode by the same amount as the mean, but it leaves the standard deviation unchanged (see Range, Variance and Standard Deviation).

Solved Examples

Question 1

The runs scored by a batsman in eight innings were 38, 71, 12, 66, 0, 49, 85 and 57. What is his mean score per innings? (a) 47.25 (b) 54 (c) 53 (d) 47

Answer. I add all eight scores: 38+71+12+66+0+49+85+57=37838 + 71 + 12 + 66 + 0 + 49 + 85 + 57 = 378. He batted eight times and the 0 is one of those innings, so I divide by 8: 3788=47.25\frac{378}{8} = 47.25. The answer is (a) 47.25. If I had left out the duck and divided by 7, I would have got 54, which is wrong because that innings was played.

Question 2

The mean of 11 results is 30. The mean of the first six results is 28 and the mean of the last six is 33. What is the sixth result? (a) 30 (b) 31 (c) 36 (d) 26

Answer. The first six add up to 6×28=1686 \times 28 = 168 and the last six to 6×33=1986 \times 33 = 198. Together that is 366, but all 11 results add up to only 11×30=33011 \times 30 = 330. The extra 36 is there because the sixth result is counted in both groups. So the sixth result is (c) 36.

Question 3

The mean of 24 observations is 40. When one more observation is included, the mean becomes 41. What is the new observation? (a) 41 (b) 65 (c) 64 (d) 66

Answer. Old sum: 24×40=96024 \times 40 = 960. New sum: 25×41=102525 \times 41 = 1025. The new observation is the difference, 65.

The short way: the new value has to be 41 itself, plus 1 more for each of the 24 old values to lift their mean from 40 to 41. That is 41+24=6541 + 24 = 65, so the answer is (b) 65.

Question 4

The mean of 30 observations is 52. If the observation 81 is removed, what is the mean of the remaining observations? (a) 49.3 (b) 50 (c) 53 (d) 51

Answer. The 30 observations add up to 30×52=156030 \times 52 = 1560. Taking out 81 leaves 1560−81=14791560 - 81 = 1479, and now there are 29 observations, so the mean is 147929=\frac{1479}{29} = (d) 51. I have to divide by 29 here, not 30, because one observation has gone.

Question 5

The mean of 50 observations was found to be 61. Later it was found that the observation 92 had been copied as 29. What is the correct mean? (a) 62.26 (b) 59.74 (c) 62.5 (d) 61.9

Answer. The wrong sum is 50×61=305050 \times 61 = 3050. The 29 should have been 92, so the correct sum is 3050−29+92=31133050 - 29 + 92 = 3113, and the correct mean is 311350=62.26\frac{3113}{50} = 62.26.

Quicker: the sum was short by 92−29=6392 - 29 = 63, so the mean was short by 6350=1.26\frac{63}{50} = 1.26, and 61+1.26=62.2661 + 1.26 = 62.26. The answer is (a) 62.26. The true value is bigger than the copied one, so the mean has to go up.

Question 6

The mean of 20 observations is 45. It was later found that two observations, 38 and 52, had been wrongly taken as 83 and 25. What is the correct mean? (a) 45.9 (b) 44.55 (c) 45 (d) 44.1

Answer. Wrong sum: 20×45=90020 \times 45 = 900. I take out the two wrong values and put in the right ones: 900−83−25+38+52=882900 - 83 - 25 + 38 + 52 = 882. So the correct mean is 88220=44.1\frac{882}{20} = 44.1, which is (d) 44.1. As a check, the wrong values added to 108 and the right ones to 90, so the sum was 18 too big and the mean 1820=0.9\frac{18}{20} = 0.9 too big.

Question 7

What is the mean of all the multiples of 6 between 20 and 200? (a) 110 (b) 102 (c) 111 (d) 105

Answer. The multiples of 6 go up in equal steps, so the mean is the average of the first and the last one. The first multiple of 6 after 20 is 24, and the last one before 200 is 198. So the mean is 24+1982=2222=\frac{24 + 198}{2} = \frac{222}{2} = (c) 111, and I did not need to count how many multiples there are.

Question 8

The mean of five consecutive odd numbers is 37. What is the largest of them? (a) 39 (b) 45 (c) 43 (d) 41

Answer. For five consecutive odd numbers the mean is the middle one, so the middle number is 37. The numbers go up by 2, so they are 33, 35, 37, 39 and 41. The largest is (d) 41.

Question 9

The four papers of an examination carry weights 3, 2, 4 and 1. A candidate scores 72, 65, 80 and 58 marks in them. What is the weighted mean of the marks? (a) 68.75 (b) 72.4 (c) 72 (d) 70.6

Answer. I multiply each mark by its weight and add: 3×72+2×65+4×80+1×58=216+130+320+58=7243 \times 72 + 2 \times 65 + 4 \times 80 + 1 \times 58 = 216 + 130 + 320 + 58 = 724. The weights add up to 10, so the weighted mean is 72410=72.4\frac{724}{10} = 72.4, which is (b) 72.4. The plain average of the four marks would be 68.75, but that treats the paper with weight 1 like the one with weight 4.

Question 10

Section A of a class has 40 students whose mean mark is 62, and section B has 35 students whose mean mark is 68. What is the mean mark of all 75 students? (a) 64.8 (b) 65 (c) 65.2 (d) 64

Answer. Total marks of A: 40×62=248040 \times 62 = 2480. Total marks of B: 35×68=238035 \times 68 = 2380. All 75 students: 2480+2380=48602480 + 2380 = 4860, so the mean is 486075=\frac{4860}{75} = (a) 64.8. A has more students, so the mean is pulled a little below 65, the plain average of 62 and 68.

Question 11

The mean salary of all the employees of an office is ₹ 24,000. The mean salary of the men is ₹ 26,000 and that of the women is ₹ 21,000. If there are 60 women, how many men are there? (a) 40 (b) 75 (c) 90 (d) 100

Answer. The overall mean is ₹ 2,000 below the men's mean and ₹ 3,000 above the women's. The sizes of the groups go the other way round, so men : women =3:2= 3 : 2. With 60 women, the men are 32×60=90\frac{3}{2} \times 60 = 90. The answer is (c) 90.

Check: 90×26000+60×21000150=3600000150=24000\frac{90 \times 26000 + 60 \times 21000}{150} = \frac{3600000}{150} = 24000. Mixing up the ratio and taking men : women as 2:32 : 3 would give 40 men, but then the overall mean would be closer to the women's mean.

Question 12

Three classes have 30, 25 and 45 students, and their mean marks are 50, 60 and 48. What is the mean mark of all the students together? (a) 52 (b) 51.6 (c) 50.4 (d) 53

Answer. I find each class total: 30×50=150030 \times 50 = 1500, 25×60=150025 \times 60 = 1500 and 45×48=216045 \times 48 = 2160. Altogether 1500+1500+2160=51601500 + 1500 + 2160 = 5160 marks for 30+25+45=10030 + 25 + 45 = 100 students, so the mean is (b) 51.6. It is below 52.67, the plain average of 50, 60 and 48, because the biggest class, with 45 students, has the lowest mean.

Question 13

The table shows the number of children in 50 families of a village.

Table of number of children in 50 families

What is the mean number of children per family? (a) 1.96 (b) 2.5 (c) 2.04 (d) 1.86

Answer. I multiply each number of children by its number of families: 0+11+38+27+12+10=980 + 11 + 38 + 27 + 12 + 10 = 98 children in all. There are 50 families, so the mean is 9850=\frac{98}{50} = (a) 1.96. The 6 families with no children add nothing to the 98, but they still count among the 50.

Question 14

The marks of 50 students in a test out of 100 are shown below.

Table of marks of 50 students in five classes

What is the mean mark? (a) 50 (b) 52.8 (c) 56.4 (d) 54.4

Answer. The class marks are 10, 30, 50, 70 and 90. I used step deviations with a=50a = 50 and h=20h = 20, so u=−2,−1,0,1,2u = -2, -1, 0, 1, 2:

∑fu=−8−10+0+13+16=11\sum fu = -8 - 10 + 0 + 13 + 16 = 11

xˉ=50+20×1150=50+4.4=54.4\bar{x} = 50 + 20 \times \frac{11}{50} = 50 + 4.4 = 54.4

The answer is (d) 54.4. If I just average the five class marks I get 50, but more students are in the upper classes, so the mean has to be above 50.

Question 15

The daily sales of a shop over 40 days are given below.

Table of daily sales of a shop over 40 days

What is the mean daily sale? (a) ₹ 2,250.25 (b) ₹ 2,400 (c) ₹ 2,375 (d) ₹ 2,350

Answer. The classes are 500 wide, so I take a=2250a = 2250 (the middle of 2000-2500) and h=500h = 500. Then u=−2,−1,0,1,2u = -2, -1, 0, 1, 2 and

∑fu=−8−7+0+9+16=10\sum fu = -8 - 7 + 0 + 9 + 16 = 10

xˉ=2250+500×1040=2250+125=2375\bar{x} = 2250 + 500 \times \frac{10}{40} = 2250 + 125 = 2375

So the mean daily sale is (c) ₹ 2,375. Without the final multiplication by 500 the answer would come out as 2250.25, almost the same as aa, which is how I know a step is missing.

Question 16

The ages of the 50 members of a club are given below.

Table of ages of 50 members of a club

What is the mean age of the members? (a) 43.4 years (b) 42.9 years (c) 44.5 years (d) 42.4 years

Answer. The class marks are the middles of the written limits: 20+292=24.5\frac{20 + 29}{2} = 24.5, then 34.5, 44.5, 54.5 and 64.5. With a=44.5a = 44.5 and h=10h = 10, u=−2,−1,0,1,2u = -2, -1, 0, 1, 2:

∑fu=−12−14+0+10+8=−8\sum fu = -12 - 14 + 0 + 10 + 8 = -8

xˉ=44.5+10×−850=44.5−1.6=42.9\bar{x} = 44.5 + 10 \times \frac{-8}{50} = 44.5 - 1.6 = 42.9

The answer is (b) 42.9 years. Taking the class marks as 25, 35, 45 and so on would push every one of them up by 0.5 and give 43.4.

Question 17

The mean of the following frequency distribution is 11.

Frequency table with one missing frequency p

What is the value of pp? (a) 5 (b) 7 (c) 8 (d) 9

Answer. I write the totals with pp in them. ∑f=25+p\sum f = 25 + p and ∑fx=24+72+12p+112+60=268+12p\sum fx = 24 + 72 + 12p + 112 + 60 = 268 + 12p. The mean is 11, so

268+12p=11(25+p)=275+11p⇒p=7268 + 12p = 11(25 + p) = 275 + 11p \Rightarrow p = 7

The answer is (b) 7. Putting it back: ∑f=32\sum f = 32 and ∑fx=352\sum fx = 352, and 35232=11\frac{352}{32} = 11.

Question 18

The mean of the following distribution is 24.

Grouped frequency table with one missing frequency k

What is the missing frequency kk? (a) 20 (b) 18 (c) 12 (d) 24

Answer. I take deviations from 25, the class mark of the class with kk, so that kk gets multiplied by 0. The other classes give 8(−20)+12(−10)+10(10)+6(20)=−160−120+100+120=−608(-20) + 12(-10) + 10(10) + 6(20) = -160 - 120 + 100 + 120 = -60. So the mean is 25+−6036+k25 + \frac{-60}{36 + k}, and this has to be 24. That means 6036+k=1\frac{60}{36 + k} = 1, so 36+k=6036 + k = 60 and kk is (d) 24.

Question 19

The table below has 40 observations in all, and their mean is 51.5.

Grouped table with two missing frequencies a and b

What are the values of aa and bb? (a) a=10a = 10, b=7b = 7 (b) a=7a = 7, b=10b = 10 (c) a=9a = 9, b=8b = 8 (d) a=11a = 11, b=6b = 6

Answer. First the total: 4+a+12+b+7=404 + a + 12 + b + 7 = 40, so a+b=17a + b = 17.

For the mean I use a0=50a_0 = 50 (the middle class mark) and h=20h = 20, so u=−2,−1,0,1,2u = -2, -1, 0, 1, 2. Then ∑fu=−8−a+0+b+14=6−a+b\sum fu = -8 - a + 0 + b + 14 = 6 - a + b, and

50+20×6−a+b40=51.5⇒6−a+b2=1.5⇒a−b=350 + 20 \times \frac{6 - a + b}{40} = 51.5 \Rightarrow \frac{6 - a + b}{2} = 1.5 \Rightarrow a - b = 3

Adding a+b=17a + b = 17 and a−b=3a - b = 3 gives 2a=202a = 20, so a=10a = 10 and b=7b = 7. The answer is (a) a=10a = 10, b=7b = 7. I called the assumed mean a0a_0 here so that it would not get mixed up with the frequency aa.

Question 20

The mean of 15 observations is 24. Each observation is multiplied by 3 and then 5 is subtracted from it. What is the new mean? (a) 72 (b) 67 (c) 57 (d) 69

Answer. Whatever is done to every observation is done to the mean as well. So the new mean is 3×24−5=72−5=3 \times 24 - 5 = 72 - 5 = (b) 67. The number of observations, 15, does not matter at all.

Question 21

The sum of the deviations of 10 observations from 25 is 40. What is the mean of the observations? (a) 29 (b) 65 (c) 4 (d) 21

Answer. The deviations add up to 40, so the observations themselves add up to 10×25+40=29010 \times 25 + 40 = 290. The mean is 29010=29\frac{290}{10} = 29. In one step: the mean is 25 plus the average deviation, 25+4010=25 + \frac{40}{10} = (a) 29.

Question 22

The deviations of six observations from their mean are −4,7,x,−2,5-4, 7, x, -2, 5 and −9-9. What is xx? (a) −3-3 (b) 0 (c) 3 (d) 1

Answer. Deviations from the mean always add up to 0. The five known ones add up to −4+7−2+5−9=−3-4 + 7 - 2 + 5 - 9 = -3, so xx has to be (c) 3 to bring the total back to 0.