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Chapter 13

Statistics

Class 10 - NCERT Mathematics Solutions



Exercise 13.1

Question 1

A survey was conducted by a group of students as a part of their environment awareness programme, in which they collected the following data regarding the number of plants in 20 houses in a locality. Find the mean number of plants per house.

Number of plantsNumber of houses
0 - 21
2 - 42
4 - 61
6 - 85
8 - 106
10 - 122
12 - 143

Which method did you use for finding the mean and why ?

Answer

By formula,

Class mark = Upper limit + Lower limit2\dfrac{\text{Upper limit + Lower limit}}{2}

We will use direct method for solving the mean of the above data as the numerical values of xi and fi are small.

Number of plantsNumber of houses (fi)Class mark (xi)fi xi
0 - 2111
2 - 4236
4 - 6155
6 - 85735
8 - 106954
10 - 1221122
12 - 1431339
TotalΣfi = 20Σfixi = 162

By formula,

Mean = ΣfixiΣfi=16220\dfrac{Σf_ix_i}{Σf_i} = \dfrac{162}{20} = 8.1

Hence, mean number of plants in each house = 8.1

Question 2

Consider the following distribution of daily wages of 50 workers of a factory.

Daily wages (in ₹)Number of workers
500 - 52012
520 - 54014
540 - 5608
560 - 5806
580 - 60010

Find the mean daily wages of the workers of the factory by using an appropriate method.

Answer

By formula,

Class mark = Upper limit + Lower limit2\dfrac{\text{Upper limit + Lower limit}}{2}

Daily wages (in ₹)Number of workers (fi)Class mark (xi)fixi
500 - 520125106120
520 - 540145307420
540 - 56085504400
560 - 58065703420
580 - 600105905900
TotalΣfi = 50Σfixi = 27260

By formula,

Mean = ΣfixiΣfi=2726050\dfrac{Σf_ix_i}{Σf_i} = \dfrac{27260}{50} = 545.20

Hence, mean daily wage = ₹ 545.20

Question 3

The following distribution shows the daily pocket allowance of children of a locality. The mean pocket allowance is ₹ 18. Find the missing frequency f.

Daily pocket allowance (in ₹)Number of children
11 - 137
13 - 156
15 - 179
17 - 1913
19 - 21f
21 - 235
23 - 254

Answer

By formula,

Class mark = Upper limit + Lower limit2\dfrac{\text{Upper limit + Lower limit}}{2}

Daily pocket allowance (in ₹)Number of children ( fi)Class mark (xi)fixi
11 - 1371284
13 - 1561484
15 - 17916144
17 - 191318234
19 - 21f2020f
21 - 23522110
23 - 2542496
TotalΣfi = 44 + fΣfixi = 752 + 20f

By formula,

Mean = ΣfixiΣfi\dfrac{Σf_ix_i}{Σf_i}

Substituting values we get :

18=752+20f44+f18(44+f)=752+20f792+18f=752+20f20f18f=7927522f=40f=402=20.\Rightarrow 18 = \dfrac{752 + 20f}{44 + f} \\[1em] \Rightarrow 18(44 + f) = 752 + 20f \\[1em] \Rightarrow 792 + 18f = 752 + 20f \\[1em] \Rightarrow 20f - 18f = 792 - 752 \\[1em] \Rightarrow 2f = 40 \\[1em] \Rightarrow f = \dfrac{40}{2} = 20.

Hence, f = 20.

Question 4

Thirty women were examined in a hospital by a doctor and the number of heartbeats per minute were recorded and summarised as follows. Find the mean heartbeats per minute for these women, choosing a suitable method.

Number of heartbeats per minuteNumber of women
65 - 682
68 - 714
71 - 743
74 - 778
77 - 807
80 - 834
83 - 862

Answer

We will use step deviation method.

In the following table a is the assumed mean and h is the class size.

Here, h = 3.

By formula,

Class mark = Upper limit + Lower limit2\dfrac{\text{Upper limit + Lower limit}}{2}

Number of heartbeats per minuteNumber of women (fi)xidi = xi - aui = (xi - a)/hfiui
65 - 68266.5-9-3-6
68 - 71469.5-6-2-8
71 - 74372.5-3-1-3
74 - 778a = 75.5000
77 - 80778.5317
80 - 83481.5628
83 - 86284.5936
TotalΣfi = 30Σfiui = 4

By formula,

Mean = a + ΣfiuiΣfi×h\dfrac{Σf_iu_i}{Σf_i} \times h

Substituting values we get :

Mean =75.5+430×3=75.5+410=75.5+0.4=75.9\text{Mean } = 75.5 + \dfrac{4}{30} \times 3 \\[1em] = 75.5 + \dfrac{4}{10} \\[1em] = 75.5 + 0.4 \\[1em] = 75.9

Hence, mean = 75.9

Question 5

In a retail market, fruit vendors were selling mangoes kept in packing boxes. These boxes contained varying number of mangoes. The following was the distribution of mangoes according to the number of boxes.

Number of mangoesNumber of boxes
50 - 5215
53 - 55110
56 - 58135
59 - 61115
62 - 6425

Find the mean number of mangoes kept in a packing box. Which method of finding the mean did you choose ?

Answer

Here the given data is discontinuous.

Adjustment factor = (Lower limit of one class - Upper limit of previous class) / 2

= 53522=12\dfrac{53 - 52}{2} = \dfrac{1}{2} = 0.5

∴ 0.5 has to be added to the upper-class limit and 0.5 has to be subtracted from the lower-class limit of each interval.

We will use step deviation method to find the mean.

In the following table a is the assumed mean and h is the class size.

Here, h = 3.

By formula,

Class mark = Upper limit + Lower limit2\dfrac{\text{Upper limit + Lower limit}}{2}

Number of mangoesNumber of boxes (fi)Class mark (xi)di = xi - aui = (xi - a)/hfiui
49.5 - 52.51551-6-2-30
52.5 - 55.511054-3-1-110
55.5 - 58.5135a = 57000
58.5 - 61.51156031115
61.5 - 64.525636250
TotalΣfi = 400Σfiui = 25

By formula,

Mean = a + ΣfiuiΣfi×h\dfrac{Σf_iu_i}{Σf_i} \times h

Substituting values we get :

Mean =57+25400×3=57+316=57+0.19=57.19\text{Mean } = 57 + \dfrac{25}{400} \times 3 \\[1em] = 57 + \dfrac{3}{16} \\[1em] = 57 + 0.19 \\[1em] = 57.19

Hence, mean number of mangoes = 57.19

Question 6

The table below shows the daily expenditure on food of 25 households in a locality.

Daily expenditure (in ₹)Number of households
100 - 1504
150 - 2005
200 - 25012
250 - 3002
300 - 3502

Find the mean daily expenditure on food by a suitable method.

Answer

We will use step deviation method to find the mean.

In the following table a is the assumed mean and h is the class size.

Here, h = 50.

By formula,

Class mark = Upper limit + Lower limit2\dfrac{\text{Upper limit + Lower limit}}{2}

Daily expenditure (in ₹)Number of households (fi)Class mark (xi)di = xi - aui = (xi - a)/hfiui
100 - 1504125-100-2-8
150 - 2005175-50-1-5
200 - 25012a = 225000
250 - 30022755012
300 - 350232510024
TotalΣfi = 25Σfiui = -7

By formula,

Mean = a + ΣfiuiΣfi×h\dfrac{Σf_iu_i}{Σf_i} \times h

Substituting values we get :

Mean =225+725×50=225+(14)=211\text{Mean } = 225 + \dfrac{-7}{25} \times 50 \\[1em] = 225 + (-14) \\[1em] = 211

Hence, mean daily expenditure on food = ₹ 211.

Question 7

To find out the concentration of SO2 (in parts per million, i.e., ppm), in the air, the data was collected for 30 localities in a certain city and is presented below :

Concentration of SO2 (in ppm)Frequency
0.00 - 0.044
0.04 - 0.089
0.08 - 0.129
0.12 - 0.162
0.16 - 0.204
0.20 - 0.242

Find the mean concentration of SO2 in the air.

Answer

We will use step deviation method to find the mean.

In the following table a is the assumed mean and h is the class size.

Here, h = 0.04

By formula,

Class mark = Upper limit + Lower limit2\dfrac{\text{Upper limit + Lower limit}}{2}

Concentration of SO2Frequency (fi)Class mark (xi)di = xi - aui = (xi - a)/hfiui
0.00 - 0.0440.02-0.08-2-8
0.04 - 0.0890.06-0.04-1-9
0.08 - 0.129a = 0.10000
0.12 - 0.1620.140.0412
0.16 - 0.2040.180.0828
0.20 - 0.2420.220.1236
TotalΣfi = 30Σfiui = -1

By formula,

Mean = a + ΣfiuiΣfi×h\dfrac{Σf_iu_i}{Σf_i} \times h

Substituting values we get :

Mean =0.10+130×0.04=0.100.0430=0.1043000=0.101750=0.100.00133=0.099\text{Mean } = 0.10 + \dfrac{-1}{30} \times 0.04 \\[1em] = 0.10 - \dfrac{0.04}{30} \\[1em] = 0.10 - \dfrac{4}{3000} \\[1em] = 0.10 - \dfrac{1}{750} \\[1em] = 0.10 - 0.00133 \\[1em] = 0.099

Hence, mean concentration of SO2 = 0.099 ppm.

Question 8

A class teacher has the following absentee record of 40 students of a class for the whole term. Find the mean number of days a student was absent.

Number of daysNumber of students
0 - 611
6 - 1010
10 - 147
14 - 204
20 - 284
28 - 383
38 - 401

Answer

We will use assumed mean method to find the mean. Here, a is the assumed mean.

By formula,

Class mark = Upper limit + Lower limit2\dfrac{\text{Upper limit + Lower limit}}{2}

Number of daysNumber of students (fi)Class mark (xi)di = xi - afidi
0 - 6113-14-154
6 - 10108-9-90
10 - 14712-5-35
14 - 204a = 1700
20 - 28424728
28 - 383331648
38 - 401392222
TotalΣfi = 40Σfidi = -181

By formula,

Mean = a+ΣfidiΣfia + \dfrac{Σf_id_i}{Σf_i}

Substituting values we get :

Mean =17+18140=1718140=174.525=12.47512.48\text{Mean } = 17 + \dfrac{-181}{40} \\[1em] = 17 - \dfrac{181}{40} \\[1em] = 17 - 4.525 \\[1em] = 12.475 ≈ 12.48

Hence, mean number of days = 12.48

Question 9

The following table gives the literacy rate (in percentage) of 35 cities. Find the mean literacy rate.

Literacy rate (in %)Number of cities
45 - 553
55 - 6510
65 - 7511
75 - 858
85 - 953

Answer

We will use assumed mean method to find the mean. Here, a is the assumed mean.

By formula,

Class mark = Upper limit + Lower limit2\dfrac{\text{Upper limit + Lower limit}}{2}

Literacy rate (in %)Number of cities (fi)Class mark (xi)di = xi - afidi
45 - 55350-20-60
55 - 651060-10-100
65 - 7511a = 7000
75 - 858801080
85 - 953902060
TotalΣfi = 35Σfidi = -20

By formula,

Mean = a+ΣfidiΣfia + \dfrac{Σf_id_i}{Σf_i}

Substituting values we get :

Mean =70+2035=702035=700.57=69.43\text{Mean } = 70 + \dfrac{-20}{35} \\[1em] = 70 - \dfrac{20}{35} \\[1em] = 70 - 0.57 \\[1em] = 69.43

Hence, mean literacy rate = 69.43 %.

Exercise 13.2

Question 1

The following table shows the ages of the patients admitted in a hospital during a year :

Age (in years)Number of patients
5 - 156
15 - 2511
25 - 3521
35 - 4523
45 - 5514
55 - 655

Find the mode and the mean of the data given above. Compare and interpret the two measures of central tendency.

Answer

We will find mean by direct method.

By formula,

Class mark = Upper limit + Lower limit2\dfrac{\text{Upper limit + Lower limit}}{2}

Age (in years)Number of patients (fi)Class mark (xi)fixi
5 - 1561060
15 - 251120220
25 - 352130630
35 - 452340920
45 - 551450700
55 - 65560300
TotalΣfi = 80Σfixi = 2830

By formula,

Mean = ΣfixiΣfi=283080=35.375\dfrac{Σf_ix_i}{Σf_i} = \dfrac{2830}{80} = 35.375

By formula,

Mode = l + (f1f02f1f0f2)×h\Big(\dfrac{f_1 - f_0}{2f_1 - f_0 - f_2}\Big) \times h

Here,

  1. Class size is h.

  2. The lower limit of modal class is l

  3. The Frequency of modal class is f1.

  4. Frequency of class preceding modal class is f0.

  5. Frequency of class succeeding the modal class is f2.

Class 35 - 45 has the highest frequency.

∴ It is the modal class.

∴ l = 35, f1 = 23, f0 = 21, f2 = 14 and h = 10.

Substituting values we get :

Mode=35+(23212×232114)×10=35+24635×10=35+2011=35+1.8=36.8\text{Mode} = 35 + \Big(\dfrac{23 - 21}{2 \times 23 - 21 - 14}\Big) \times 10 \\[1em] = 35 + \dfrac{2}{46 - 35} \times 10 \\[1em] = 35 + \dfrac{20}{11} \\[1em] = 35 + 1.8 \\[1em] = 36.8

Since, mode = 36.8

∴ Maximum number of patients admitted in the hospital are of the age 36.8 years.

Since, mean = 35.37

∴ Average the age of a patient admitted to the hospital is 35.37 years.

Question 2

The following data gives the information on the observed lifetimes (in hours) of 225 electrical components :

Lifetime (in hours)Frequency
0 - 2010
20 - 4035
40 - 6052
60 - 8061
80 - 10038
100 - 12029

Determine the modal lifetimes of the components.

Answer

By formula,

Mode = l + (f1f02f1f0f2)×h\Big(\dfrac{f_1 - f_0}{2f_1 - f_0 - f_2}\Big) \times h

Here,

  1. Class size is h.

  2. The lower limit of modal class is l

  3. The Frequency of modal class is f1.

  4. Frequency of class preceding modal class is f0.

  5. Frequency of class succeeding the modal class is f2.

Class 60 - 80 has the highest frequency.

∴ It is the modal class.

∴ l = 60, f1 = 61, f0 = 52, f2 = 38 and h = 20.

Substituting values we get :

Mode=60+(61522×615238)×20=60+912290×20=60+18032=60+5.625=65.625\text{Mode} = 60 + \Big(\dfrac{61 - 52}{2 \times 61 - 52 - 38}\Big) \times 20 \\[1em] = 60 + \dfrac{9}{122 - 90} \times 20 \\[1em] = 60 + \dfrac{180}{32} \\[1em] = 60 + 5.625 \\[1em] = 65.625

Hence, modal lifetime = 65.625 hours.

Question 3

The following data gives the distribution of total monthly household expenditure of 200 families of a village. Find the modal monthly expenditure of the families. Also, find the mean monthly expenditure :

Expenditure (in ₹)Number of families
1000 - 150024
1500 - 200040
2000 - 250033
2500 - 300028
3000 - 350030
3500 - 400022
4000 - 450016
4500 - 50007

Answer

By formula,

Mode = l + (f1f02f1f0f2)×h\Big(\dfrac{f_1 - f_0}{2f_1 - f_0 - f_2}\Big) \times h

Here,

  1. Class size is h.

  2. The lower limit of modal class is l

  3. The Frequency of modal class is f1.

  4. Frequency of class preceding modal class is f0.

  5. Frequency of class succeeding the modal class is f2.

Class 1500 - 2000 has the highest frequency.

∴ It is the modal class.

∴ l = 1500, f1 = 40, f0 = 24, f2 = 33 and h = 500.

Substituting values we get :

Mode=1500+(40242×402433)×500=1500+168057×500=1500+1623×500=1500+800023=1500+347.83=1847.83\text{Mode} = 1500 + \Big(\dfrac{40 - 24}{2 \times 40 - 24 - 33}\Big) \times 500 \\[1em] = 1500 + \dfrac{16}{80 - 57} \times 500 \\[1em] = 1500 + \dfrac{16}{23} \times 500 \\[1em] = 1500 + \dfrac{8000}{23} \\[1em] = 1500 + 347.83 \\[1em] = 1847.83

We will find mean using step deviation method.

Expenditure (in ₹)Number of families (fi)Class mark (xi)di = xi - aui = (xi - a)/hfiui
1000 - 1500241250-2000-4-96
1500 - 2000401750-1500-3-120
2000 - 2500332250-1000-2-66
2500 - 3000282750-500-1-28
3000 - 350030a = 3250000
3500 - 4000223750500122
4000 - 45001642501000232
4500 - 5000747501500321
TotalΣfi = 200Σfiui = -235

By formula,

Mean = a + ΣfiuiΣfi×h\dfrac{Σf_iu_i}{Σf_i} \times h

Substituting values we get :

Mean =3250+235200×500=325011752=3250587.5=2662.50\text{Mean } = 3250 + \dfrac{-235}{200} \times 500 \\[1em] = 3250 - \dfrac{1175}{2} \\[1em] = 3250 - 587.5 \\[1em] = 2662.50

Hence, mean = ₹ 2662.50 and mode = ₹ 1847.83.

Question 4

The following distribution gives the state-wise teacher-student ratio in higher secondary schools of India. Find the mode and mean of this data. Interpret the two measures.

Number of student per teacherNumber of states/U.T.
15 - 203
20 - 258
25 - 309
30 - 3510
35 - 403
40 - 450
45 - 500
50 - 552

Answer

By formula,

Mode = l + (f1f02f1f0f2)×h\Big(\dfrac{f_1 - f_0}{2f_1 - f_0 - f_2}\Big) \times h

Here,

  1. Class size is h.

  2. The lower limit of modal class is l

  3. The Frequency of modal class is f1.

  4. Frequency of class preceding modal class is f0.

  5. Frequency of class succeeding the modal class is f2.

Class 30 - 35 has the highest frequency.

∴ It is the modal class.

∴ l = 30, f1 = 10, f0 = 9, f2 = 3 and h = 5.

Substituting values we get :

Mode=30+(1092×1093)×5=30+12012×5=30+58=30+0.625=30.62530.6\text{Mode} = 30 + \Big(\dfrac{10 - 9}{2 \times 10 - 9 - 3}\Big) \times 5 \\[1em] = 30 + \dfrac{1}{20 - 12} \times 5 \\[1em] = 30 + \dfrac{5}{8} \\[1em] = 30 + 0.625 \\[1em] = 30.625 ≈ 30.6

We will find mean using direct method.

Number of student per teacherNumber of states/U.T. (fi)Class mark (xi)fixi
15 - 20317.552.5
20 - 25822.5180
25 - 30927.5247.5
30 - 351032.5325
35 - 40337.5112.5
40 - 45042.50
45 - 50047.50
50 - 55252.5105
TotalΣfi = 35Σfixi = 1022.5

By formula,

Mean = ΣfixiΣfi=1022.535\dfrac{Σf_ix_i}{Σf_i} = \dfrac{1022.5}{35} = 29.2

Hence, mode = 30.6 and median = 29.2 so, most states/U.T. have a student teacher ratio of 30.6 and on an average, this ratio is 29.2

Question 5

The given distribution shows the number of runs scored by some top batsmen of the world in one-day international cricket matches.

Runs scoredNumber of batsmen
3000 - 40004
4000 - 500018
5000 - 60009
6000 - 70007
7000 - 80006
8000 - 90003
9000 - 100001
10000 - 110001

Find the mode of the data.

Answer

By formula,

Mode = l + (f1f02f1f0f2)×h\Big(\dfrac{f_1 - f_0}{2f_1 - f_0 - f_2}\Big) \times h

Here,

  1. Class size is h.

  2. The lower limit of modal class is l

  3. The Frequency of modal class is f1.

  4. Frequency of class preceding modal class is f0.

  5. Frequency of class succeeding the modal class is f2.

Class 4000 - 5000 has the highest frequency.

∴ It is the modal class.

∴ l = 4000, f1 = 18, f0 = 4, f2 = 9 and h = 1000.

Substituting values we get :

Mode=4000+(1842×1849)×1000=4000+143613×1000=4000+1400023=4000+608.7=4608.7\text{Mode} = 4000 + \Big(\dfrac{18 - 4}{2 \times 18 - 4 - 9}\Big) \times 1000 \\[1em] = 4000 + \dfrac{14}{36 - 13} \times 1000 \\[1em] = 4000 + \dfrac{14000}{23} \\[1em] = 4000 + 608.7 \\[1em] = 4608.7

Hence, mode = 4608.7 runs.

Question 6

A student noted the number of cars passing through a spot on a road for 100 periods each of 3 minutes and summarised it in the table given below. Find the mode of the data :

Number of carsFrequency
0 - 107
10 - 2014
20 - 3013
30 - 4012
40 - 5020
50 - 6011
60 - 7015
70 - 808

Answer

By formula,

Mode = l + (f1f02f1f0f2)×h\Big(\dfrac{f_1 - f_0}{2f_1 - f_0 - f_2}\Big) \times h

Here,

  1. Class size is h.

  2. The lower limit of modal class is l

  3. The Frequency of modal class is f1.

  4. Frequency of class preceding modal class is f0.

  5. Frequency of class succeeding the modal class is f2.

Class 40 - 50 has the highest frequency.

∴ It is the modal class.

∴ l = 40, f1 = 20, f0 = 12, f2 = 11 and h = 10.

Substituting values we get :

Mode=40+(20122×201211)×10=40+84023×10=40+8017=40+4.7=44.7\text{Mode} = 40 + \Big(\dfrac{20 - 12}{2 \times 20 - 12 - 11}\Big) \times 10 \\[1em] = 40 + \dfrac{8}{40 - 23} \times 10 \\[1em] = 40 + \dfrac{80}{17} \\[1em] = 40 + 4.7 \\[1em] = 44.7

Hence, mode = 44.7 cars.

Exercise 13.3

Question 1

The following frequency distribution gives the monthly consumption of electricity of 68 consumers of a locality. Find the median, mean and mode of the data and compare them.

Monthly consumption (in units)Number of consumers
65 - 854
85 - 1055
105 - 12513
125 - 14520
145 - 16514
165 - 1858
185 - 2054

Answer

We will find mean by step deviation method.

By formula,

Class mark = Lower limit + Upper limit2\dfrac{\text{Lower limit + Upper limit}}{2}

Here, h (class size) = 20.

Monthly consumption (in units)Number of consumers (fi)Class mark (xi)di = xi - aui = (xi - a)/hfiui
65 - 85475-60-3-12
85 - 105595-40-2-10
105 - 12513115-20-1-13
125 - 14520a = 135000
145 - 1651415520114
165 - 185817540216
185 - 205419560312
TotalΣfi = 68Σfiui = 7

By formula,

Mean = a+ΣfiuiΣfi×ha + \dfrac{Σf_iu_i}{Σf_i} \times h

Substituting values we get :

Mean =135+768×20=135+3517=135+2.05=137.05\text{Mean } = 135 + \dfrac{7}{68} \times 20 \\[1em] = 135 + \dfrac{35}{17} \\[1em] = 135 + 2.05 = 137.05

Cumulative frequency distribution table is as follows :

Monthly consumption (in units)Number of consumers (frequency)Cumulative frequency
65 - 8544
85 - 10559 (4 + 5)
105 - 1251322 (9 + 13)
125 - 1452042 (22 + 20)
145 - 1651456 (42 + 14)
165 - 185864 (56 + 8)
185 - 205468 (64 + 4)

Here, n = 68, which is even

n2=682\dfrac{n}{2} = \dfrac{68}{2} = 34.

Cumulative frequency just greater than n2\dfrac{n}{2} is 42, belonging to class-interval 125 - 145.

∴ Median class = 125 - 145

⇒ Lower limit of median class (l) = 125

⇒ Frequency of median class (f) = 20

⇒ Cumulative frequency of class preceding median class (cf) = 22

By formula,

Median = l+(n2cff)×hl + \Big(\dfrac{\dfrac{n}{2} - cf}{f}\Big) \times h

Substituting values we get :

Median=125+342220×20=125+1220×20=125+12=137.\text{Median} = 125 + \dfrac{34 - 22}{20} \times 20 \\[1em] = 125 + \dfrac{12}{20} \times 20 \\[1em] = 125 + 12 \\[1em] = 137.

By formula,

Mode = l + (f1f02f1f0f2)×h\Big(\dfrac{f_1 - f_0}{2f_1 - f_0 - f_2}\Big) \times h

Here,

  1. Class size is h.

  2. The lower limit of modal class is l

  3. The Frequency of modal class is f1.

  4. Frequency of class preceding modal class is f0.

  5. Frequency of class succeeding the modal class is f2.

From table,

Class 125 - 145 has the highest frequency.

∴ It is the modal class.

∴ l = 125, f1 = 20, f0 = 13, f2 = 14 and h = 20.

Substituting values we get :

Mode=125+(20132×201314)×20=125+74027×20=125+14013=125+10.76=135.76\text{Mode} = 125 + \Big(\dfrac{20 - 13}{2 \times 20 - 13 - 14}\Big) \times 20 \\[1em] = 125 + \dfrac{7}{40 - 27} \times 20 \\[1em] = 125 + \dfrac{140}{13} \\[1em] = 125 + 10.76 \\[1em] = 135.76

Hence, mean = 137.05, median = 137 and mode = 135.76

Question 2

If the median of the distribution given below is 28.5, find the values of x and y.

Class intervalFrequency
0 - 105
10 - 20x
20 - 3020
30 - 4015
40 - 50y
50 - 605
Total60

Answer

Cumulative frequency distribution table is as follows :

Class intervalFrequencyCumulative frequency
0 - 1055
10 - 20x5 + x
20 - 302025 + x
30 - 401540 + x
40 - 50y40 + x + y
50 - 60545 + x + y

We know that,

⇒ n = 60

⇒ 45 + x + y = 60

⇒ x + y = 15 ...........(1)

Given,

Median = 28.5

From cumulative frequency distribution table we get :

Median lies in class 20 - 30.

∴ Median class = 20 - 30

⇒ Lower limit of median class (l) = 20

⇒ Class size (h) = 10

⇒ Frequency of median class (f) = 20

⇒ Cumulative frequency of class preceding median class (cf) = 5 + x

By formula,

Median = l+(n2cff)×hl + \Big(\dfrac{\dfrac{n}{2} - cf}{f}\Big) \times h

Substituting values we get :

28.5=20+(602(5+x)20)×1028.520=305x28.5×2=25x17=25xx=2517=8.\Rightarrow 28.5 = 20 + \Big(\dfrac{\dfrac{60}{2} - (5 + x)}{20}\Big) \times 10 \\[1em] \Rightarrow 28.5 - 20 = \dfrac{30 - 5 - x}{2} \\[1em] \Rightarrow 8.5 \times 2 = 25 - x \\[1em] \Rightarrow 17 = 25 - x \\[1em] \Rightarrow x = 25 - 17 = 8.

Substituting value of x in equation (1), we get :

⇒ 8 + y = 15

⇒ y = 15 - 8

⇒ y = 7.

Hence, x = 8 and y = 7.

Question 3

A life insurance agent found the following data for distribution of ages of 100 policy holders. Calculate the median age, if policies are given only to persons having age 18 years onwards but less than 60 year.

Age (in years)Number of policy holders
Below 202
Below 256
Below 3024
Below 3545
Below 4078
Below 4589
Below 5092
Below 5598
Below 60100

Answer

Cumulative frequency distribution table is as follows :

Age (in years)Cumulative frequencyFrequency
18 - 2022
20 - 2566 - 2 = 4
25 - 302424 - 6 = 18
30 - 354545 - 24 = 21
35 - 407878 - 45 = 33
40 - 458989 - 78 = 11
45 - 509292 - 89 = 3
50 - 559898 - 92 = 6
55 - 60100100 - 98 = 2

Here, n = 100, n2=50\dfrac{n}{2} = 50.

Cumulative frequency just greater than 50 is 78, belonging to class-interval 35 − 40.

Therefore, median class = 35 - 40

⇒ Class size (h) = 5

⇒ Lower limit of median class (l) = 35

⇒ Frequency of median class (f) = 33

⇒ Cumulative frequency of class preceding median class (cf) = 45

By formula,

Median = l+(n2cff)×hl + \Big(\dfrac{\dfrac{n}{2} - cf}{f}\Big) \times h

Substituting values we get :

Median =35+504533×5=35+2533=35+0.76=35.76\Rightarrow \text{Median } = 35 + \dfrac{50 - 45}{33} \times 5 \\[1em] = 35 + \dfrac{25}{33} \\[1em] = 35 + 0.76 \\[1em] = 35.76

Hence, median age = 35.76 years.

Question 4

The lengths of 40 leaves of a plant are measured correct to the nearest millimetre, and the data obtained is represented in the following table :

Length (in mm)Number of leaves
118 - 1263
127 - 1355
136 - 1449
145 - 15312
154 - 1625
163 - 1714
172 - 1802

Find the median length of leaves.

Answer

Here the given data is discontinuous.

Adjustment factor = (Lower limit of one class - Upper limit of previous class) / 2

= 1271262=12\dfrac{127 - 126}{2} = \dfrac{1}{2} = 0.5

∴ 0.5 has to be added to the upper-class limit and 0.5 has to be subtracted from the lower-class limit of each interval.

Cumulative frequency distribution table is as follows :

Length (in mm)Number of leavesCumulative frequency
117.5 - 126.533
126.5 - 135.558
135.5 - 144.5917
144.5 - 153.51229
153.5 - 162.5534
162.5 - 171.5438
171.5 - 180.5240

Here, n = 40, n2=402=20\dfrac{n}{2} = \dfrac{40}{2} = 20.

Cumulative frequency just greater than 20 is 29, belonging to class-interval 144.5 − 153.5

Therefore, median class = 144.5 - 153.5

⇒ Class size (h) = 9

⇒ Lower limit of median class (l) = 144.5

⇒ Frequency of median class (f) = 12

⇒ Cumulative frequency of class preceding median class (cf) = 17

By formula,

Median = l+(n2cff)×hl + \Big(\dfrac{\dfrac{n}{2} - cf}{f}\Big) \times h

Substituting values we get :

Median =144.5+201712×9=144.5+2712=144.5+2.25=146.75\Rightarrow \text{Median } = 144.5 + \dfrac{20 - 17}{12} \times 9 \\[1em] = 144.5 + \dfrac{27}{12} \\[1em] = 144.5 + 2.25 \\[1em] = 146.75

Hence, median length = 146.75 mm.

Question 5

The following table gives the distribution of the life time of 400 neon lamps :

Life time (in hours)Number of lamps
1500 - 200014
2000 - 250056
2500 - 300060
3000 - 350086
3500 - 400074
4000 - 450062
4500 - 500048

Find the median life time of a lamp.

Answer

Cumulative frequency distribution table is as follows :

Life time (in hours)Number of lampsCumulative frequency
1500 - 20001414
2000 - 25005670 (14 + 56)
2500 - 300060130 (70 + 60)
3000 - 350086216 (130 + 86)
3500 - 400074290 (216 + 74)
4000 - 450062352 (290 + 62)
4500 - 500048400 (352 + 48)

Here, n = 400, n2=4002=200\dfrac{n}{2} = \dfrac{400}{2} = 200.

Cumulative frequency just greater than 200 is 216, belonging to class-interval 3000 - 3500

∴ Median class = 3000 - 3500

⇒ Class size (h) = 500

⇒ Lower limit of median class (l) = 3000

⇒ Frequency of median class (f) = 86

⇒ Cumulative frequency of class preceding median class (cf) = 130

By formula,

Median = l+(n2cff)×hl + \Big(\dfrac{\dfrac{n}{2} - cf}{f}\Big) \times h

Substituting values we get :

Median =3000+20013086×500=3000+3500086=3000+406.98=3406.98\Rightarrow \text{Median } = 3000 + \dfrac{200 - 130}{86} \times 500 \\[1em] = 3000 + \dfrac{35000}{86} \\[1em] = 3000 + 406.98 \\[1em] = 3406.98

Hence, median life = 3406.98 hours.

Question 6

100 surnames were randomly picked up from a local telephone directory and the frequency distribution of the number of letters in the English alphabets in the surnames was obtained as follows :

Number of lettersNumber of surnames
1 - 46
4 - 730
7 - 1040
10 - 1316
13 - 164
16 - 194

Determine the median number of letters in the surnames. Find the mean number of letters in the surnames? Also, find the modal size of the surnames.

Answer

We will use direct method to find the mean.

Number of lettersNumber of surnames (fi)Class mark (xi)fixi
1 - 462.515
4 - 7305.5165
7 - 10408.5340
10 - 131611.5184
13 - 16414.558
16 - 19417.570
TotalΣfi = 100Σfixi = 832

By formula,

Mean = ΣfixiΣfi=832100\dfrac{Σf_ix_i}{Σf_i} = \dfrac{832}{100} = 8.32

Cumulative frequency distribution table is as follows :

Number of lettersNumber of surnamesCumulative frequency
1 - 466
4 - 73036 (30 + 6)
7 - 104076 (36 + 40)
10 - 131692 (76 + 16)
13 - 16496 (92 + 4)
16 - 194100 (96 + 4)

Here, n = 100, n2=1002\dfrac{n}{2} = \dfrac{100}{2} = 50.

Cumulative frequency just greater than 50 is 76, belonging to class-interval 7 - 10.

∴ Median class = 7 - 10

⇒ Class size (h) = 3

⇒ Lower limit of median class (l) = 7

⇒ Frequency of median class (f) = 40

⇒ Cumulative frequency of class preceding median class (cf) = 36

By formula,

Median = l+(n2cff)×hl + \Big(\dfrac{\dfrac{n}{2} - cf}{f}\Big) \times h

Substituting values we get :

Median=7+503640×3=7+14×340=7+4240=7+1.05=8.05\text{Median} = 7 + \dfrac{50 - 36}{40} \times 3 \\[1em] = 7 + \dfrac{14 \times 3}{40} \\[1em] = 7 + \dfrac{42}{40} \\[1em] = 7 + 1.05 \\[1em] = 8.05

By formula,

Mode = l + (f1f02f1f0f2)×h\Big(\dfrac{f_1 - f_0}{2f_1 - f_0 - f_2}\Big) \times h

Here,

  1. Class size is h.

  2. The lower limit of modal class is l

  3. The Frequency of modal class is f1.

  4. Frequency of class preceding modal class is f0.

  5. Frequency of class succeeding the modal class is f2.

From table,

Class 7 - 10 has the highest frequency.

∴ It is the modal class.

∴ l = 7, f1 = 40, f0 = 30, f2 = 16 and h = 3.

Substituting values we get :

Mode=7+(40302×403016)×3=7+108046×3=7+3034=7+0.88=7.88\text{Mode} = 7 + \Big(\dfrac{40 - 30}{2 \times 40 - 30 - 16}\Big) \times 3 \\[1em] = 7 + \dfrac{10}{80 - 46} \times 3 \\[1em] = 7 + \dfrac{30}{34} \\[1em] = 7 + 0.88 \\[1em] = 7.88

Hence, mean = 8.32, median = 8.05 and mode = 7.88

Question 7

The distribution below gives the weights of 30 students of a class. Find the median weight of the students.

Weight (in kg)Number of students
40 - 452
45 - 503
50 - 558
55 - 606
60 - 656
65 - 703
70 - 752

Answer

Cumulative frequency distribution table is as follows :

Weight (in kg)Number of studentsCumulative frequency
40 - 4522
45 - 5035 (2 + 3)
50 - 55813 (5 + 8)
55 - 60619 (13 + 6)
60 - 65625 (19 + 6)
65 - 70328 (25 + 3)
70 - 75230 (28 + 2)

Here, n = 30, n2=302=15\dfrac{n}{2} = \dfrac{30}{2} = 15.

Cumulative frequency just greater than 15 is 19, belonging to class-interval 55 - 60

∴ Median class = 55 - 60

Class size (h) = 5

Lower limit of median class (l) = 55

Frequency of median class (f) = 6

Cumulative frequency of class preceding median class (cf) = 13

By formula,

Median = l+(n2cff)×hl + \Big(\dfrac{\dfrac{n}{2} - cf}{f}\Big) \times h

Substituting values we get :

Median =55+15136×5=55+106=55+1.67=56.67\Rightarrow \text{Median } = 55 + \dfrac{15 - 13}{6} \times 5 \\[1em] = 55 + \dfrac{10}{6} \\[1em] = 55 + 1.67 \\[1em] = 56.67

Hence, median weight = 56.67 kg.

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