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| Class interval: | 25 β 29 | 30 β 34 | 35 β 39 | 40 β 44 | 45 β 49 | 50 β 54 | 55 β 59 |
| Frequency: | 14 | 22 | 16 | 6 | 5 | 3 | 4 |
Solution:
Letβs consider the assumed mean (A) = 42
Class interval Mid β value xi di = xi β 42 ui = (xi β 42)/5 fi fiui 25 β 29 27 -15 -3 14 -42 30 β 34 32 -10 -2 22 -44 35 β 39 37 -5 -1 16 -16 40 β 44 42 0 0 6 0 45 β 49 47 5 1 5 5 50 β 54 52 10 2 3 6 55 β 59 57 15 3 4 12 N = 70 Ξ£ fiui = -79 From the table itβs seen that,
A = 42 and h = 5
Mean = A + h x (Ξ£fi ui/N)
= 42 + 5 x (-79/70)
= 42 β 79/14
= 42 β 5.643
= 36.357
| Size of item: | 1 - 4 | 4 - 9 | 9 - 16 | 16 - 20 |
| Frequency: | 6 | 12 | 26 | 20 |
Solution:
By direct method
Class interval Mid value xi Frequency fi fixi 1 - 4 2.5 6 15 4 - 9 6.5 12 18 9 - 16 12.5 26 325 16 - 27 21.5 20 430 N = 64 Sum = 848 Mean = (sum/N) + A
= 848/64
= 13.25
By assuming mean method
Let the assumed mean (A) = 65
Class interval Mid value xi ui = (xi - A) = xi - 65 Frequency fi fiui 1 - 4 2.5 -4 6 -25 4 - 9 6.5 0 12 0 9 - 16 12.5 6 26 196 16 - 27 21.5 15 20 300 N = 64 Sum = 432 Mean = A + sum/N
= 6.5 + 6.75
= 13.25
| Cost of living index | Number of students | Cost of living index | Number of students |
| 1400 - 1500 | 5 | 1700 - 1800 | 9 |
| 1500 - 1600 | 10 | 1800 - 1900 | 6 |
| 1600 - 1700 | 20 | 1900 - 2000 | 2 |
Solution:
Let the assumed mean (A) = 1650
Class interval Mid value xi di = xi - A = xi - 1650 Frequency fi fiui 1400 - 1500 1450 -200 -2 5 -10 1500 - 1600 1550 -100 -1 10 -10 1600 - 1700 1650 0 0 20 0 1700 - 1800 1750 100 1 9 9 1800 - 1900 1850 200 2 6 12 1900 - 2000 1950 300 3 2 6 N = 52 Sum = 7 We have
A = 16, h = 100
Mean = A + h (sum/N)
= 1650 + (175/13)
= 21625/13
= 1663.46
| Marks: | 0 - 10 | 10 - 20 | 20 - 30 | 30 - 40 | 40 - 50 |
| Number of students: | 20 | 24 | 40 | 36 | 20 |
Solution:
(i) Direct method:
Class interval Mid value xi Frequency fi fixi 0 - 10 5 20 100 10 - 20 15 24 360 20 - 30 25 40 1000 30 - 40 35 36 1260 40 - 50 45 20 900 N = 140 Sum = 3620 Mean = sum/N
= 3620/140
= 25.857
(ii) Assumed mean method:
Let the assumed mean = 25
Mean = A + (sum/N)
Class interval Mid value xi ui = (xi - A) Frequency fi fiui 0 - 10 5 -20 20 -400 10 - 20 15 -10 24 -240 20 - 30 25 0 40 0 30 - 40 35 10 36 360 40 - 50 45 20 20 400 N = 140 Sum = 120 Mean = A + (sum/N)
= 25 + (120/140)
= 25 + 0.857
= 25.857
(iii) Step deviation method:
Let the assumed mean (A) = 25
Class interval Mid value xi di = xi - A = xi - 25 Frequency fi fiui 0 - 10 5 -20 -2 20 -40 10 - 20 15 -10 -1 24 -24 20 - 30 25 0 0 40 0 30 - 40 35 10 1 36 36 40 - 50 45 20 2 20 40 N = 140 Sum = 12 Mean = A + h(sum/N)
= 25 + 10(12/140)
= 25 + 0.857
= 25.857
| Class: | 0 - 20 | 20 - 40 | 40 - 60 | 60 - 80 | 80 - 100 | 100 - 120 |
| Frequency: | 5 | f1 | 10 | f2 | 7 | 8 |
Solution:
Class interval Mid value xi Frequency fi fixi 0 - 20 10 5 50 20 - 40 30 fi 30fi 40 - 60 50 10 500 60 - 80 70 f2 70f2 80 - 100 90 7 630 100 - 120 110 8 880 N = 50 Sum = 30f1 + 70f2 + 2060 Given,
Sum of frequency = 50
5 + f1 + 10 + f2 + 7 + 8 = 50
f1 + f2 = 20
3f1 + 3f2 = 60 ---(1) [Multiply both side by 3]
and mean = 62.8
Sum/N = 62.8
(30f1 + 70f2 + 2060)/50 = 62.8
30f1 + 70f2 = 3140 - 2060
30f1 + 70f2 = 1080
3f1 + 7f2 = 108 ---(2) [divide it by 10]
Subtract equation (1) from equation (2)
3f1 + 7f2 - 3f1 - 3f2 = 108 - 60
4f2 = 48
f2 = 12
Put value of f2 in equation (1)
3f1 + 3(12) = 60
f1 = 24/3 = 8
f1 = 8, f2 = 12
| Class interval: | 11 - 13 | 13 - 15 | 15 - 17 | 17 - 19 | 19 - 21 | 21 - 23 | 23 - 25 |
| Frequency: | 7 | 6 | 9 | 13 | - | 5 | 4 |
Solution:
Given mean = 18,
Let the missing frequency be v
Class interval Mid interval xi Frequency fi fixi 11 - 13 12 7 84 13 - 15 14 6 88 15 - 17 16 9 144 17 - 19 18 13 234 19 - 21 20 x 20x 21 - 23 22 5 110 23 - 25 14 4 56 N = 44 + x Sum = 752 + 20x Mean = sum/N
18 = 752 + 20x44 + x
792 + 18x = 752 + 20x
2x = 40
x = 20
| Class: | 0 - 10 | 10 - 20 | 20 - 30 | 30 - 40 | 40 - 50 |
| Frequency: | 8 | P | 12 | 13 | 10 |
Solution:
Class interval Mid value xi Frequency fi fixi 0 - 10 5 8 40 10 - 20 15 P 152 20 - 30 25 12 300 30 - 40 35 13 455 40 - 50 45 16 450 N = 43 + P Sum = 1245 + 15p Given mean = 27
Mean = sum/N
1245 + 15p43 + p = 27
1245 + 15p = 1161 + 27p
12p = 84
P =7
| Number of mangoes: | 50 - 52 | 53 - 55 | 56 - 58 | 59 - 61 | 62 - 64 |
| Number of boxes: | 15 | 110 | 135 | 115 | 25 |
Solution:
Number of mangoes Number of boxes 50 - 52 15 53 - 55 110 56 - 58 135 59 - 61 115 62 - 64 25 We may observe that class internals are not continuous
There is a gap between two class intervals. So we have to add Β½ from lower class limit to each interval and class mark (xi) may be obtained by using the relation
xi = upperlimit + lowerclasslimit2
Class size (h) of this data = 3
Now taking 57 as assumed mean (a) we may calculated di, ui, fiui as follows
Class interval Frequency fi Mid values xi di = xi - A = xi - 25 fiui 49.5 - 52.5 15 51 -6 -2 -30 52.5 - 55.5 110 54 -3 -1 -110 55.5 - 58.5 135 57 0 0 0 58.5 - 61.5 115 60 3 1 115 61.5 - 64.5 25 63 6 2 50 Total N = 400 Sum = 25 Now we have N
Sum = 25
Mean = A +h (sum/N)
= 57 + 3 (45/400)
= 57 + 3/16
= 57 + 0.1875
= 57.19
Clearly mean number of mangoes kept in packing box is 57.19
| Daily expenditure (In Rs): | 100 - 150 | 150 - 200 | 200 - 250 | 250 - 300 | 300 - 350 |
| Number of households: | 4 | 5 | 12 | 2 | 2 |
Solution:
We may calculate class mark (xi) for each interval by using the relation
xi = upperlimit + lowerclasslimit2
Class size = 50
Now, Taking 225 as assumed mean (xi) we may calculate di, ui, fiui as follows
Daily expenditure Frequency f1 Mid value xi di = xi - 225 fiui 100 - 150 4 125 -100 -2 -8 150 - 200 5 175 -50 -1 -5 200 - 250 12 225 0 0 0 250 - 300 2 275 50 1 2 300 - 350 2 325 100 2 4 N = 25 Sum = -7 Now we may observe that
N = 25
Sum = -7
225 + 50 (-7/25)
225 - 14 = 211
So, mean daily expenditure on food is Rs 211
| Concentration of SO2 (in ppm) | Frequency |
| 0.00 - 0.04 | 4 |
| 0.04 - 0.08 | 9 |
| 0.08 - 0.12 | 9 |
| 0.12 - 0.16 | 2 |
| 0.16 - 0.20 | 4 |
| 0.20 - 0.24 | 2 |
Solution:
We may find class marks for each interval by using the relation
x = upperlimit + lowerclasslimit2x =
Class size of this data = 0.04
Now taking 0.04 assumed mean (xi) we may calculate di, ui, fiui as follows
Concentration of SO2 Frequency f1 Class interval xi` di = xi - 0.14 ui fiui 0.00 - 0.04 4 0.02 -0.12 -3 -12 0.04 - 0.08 9 0.06 -0.08 -2 -18 0.08 - 0.12 9 0.10 -0.04 -1 -9 0.12 - 0.16 2 0.14 0 0 0 0.16 - 0.20 4 0.18 0.04 1 4 0.20 - 0.24 2 0.22 0.08 2 4 Total N = 30 Sum = -31 From the table we may observe that
N = 30
Sum = -31
= 0.14 + (0.04)(-31/30)
= 0.099 ppm
So mean concentration of SO2 in the air is 0.099 ppm.
| Number of days: | 0 - 6 | 6 - 10 | 10 - 14 | 14 - 20 | 20 - 28 | 28 - 38 | 38 - 40 |
| Number of students: | 11 | 10 | 7 | 4 | 4 | 3 | 1 |
Solution:
We may find class mark of each interval by using the relation
x = upperlimit + lowerclasslimit2x =
Now, taking 16 as assumed mean (a) we may
Calculate di and fidi as follows
Number of days Number of students fi Xi d = xi + 10 fidi 0 - 6 11 3 -13 -143 6 - 10 10 8 -8 -280 10 - 14 7 12 -4 -28 14 - 20 7 16 0 0 20 - 28 8 24 8 32 28 - 36 3 33 17 51 30 - 40 1 39 23 23 Total N = 40 Sum = -145 Now we may observe that
N = 40
Sum = -145
= 16 + (-145/40)
= 16 - 3.625
= 12.38
So mean number of days is 12.38 days, for which student was absent.
| Literacy rate (in %): | 45 - 55 | 55 - 65 | 65 - 75 | 75 - 85 | 85 - 95 |
| Number of cities: | 3 | 10 | 11 | 8 | 3 |
Solution:
We may find class marks by using the relation
x = upperlimit + lowerclasslimit2x =
Class size (h) for this data = 10
Now taking 70 as assumed mean (a) wrong
Calculate di, ui, fiui as follows
Literacy rate (in %) Number of cities (fi) Mid value xi di = xi - 70 ui = di - 50 fiui 45 - 55 3 50 -20 -20 -6 55 - 65 10 60 -10 -1 -10 65 - 75 11 70 0 0 0 75 - 85 8 80 10 1 8 85 - 95 3 90 20 2 6 Total N = 35 Sum = -2 Now we may observe that
N = 35
Sum = -2
= 70 + (-2/35)
= 70 - 4/7
= 70 - 0.57
= 69.43
So, mean literacy rate is 69.43%
| Number of mangoes: | 50 - 52 | 53 - 55 | 56 - 58 | 59 - 61 | 62 - 64 |
| Number of boxes: | 15 | 110 | 135 | 115 | 25 |
Solution:
Number of mangoes Number of boxes 50 - 52 15 53 - 55 110 56 - 58 135 59 - 61 115 62 - 64 25 We may observe that class internals are not continuous
There is a gap between two class intervals. So we have to add Β½ from lower class limit to each interval and class mark (xi) may be obtained by using the relation
xi = upperlimit + lowerclasslimit2
Class size (h) of this data = 3
Now taking 57 as assumed mean (a) we may calculated di, ui, fiui as follows
Class interval Frequency fi Mid values xi di = xi - A = xi - 25 fiui 49.5 - 52.5 15 51 -6 -2 -30 52.5 - 55.5 110 54 -3 -1 -110 55.5 - 58.5 135 57 0 0 0 58.5 - 61.5 115 60 3 1 115 61.5 - 64.5 25 63 6 2 50 Total N = 400 Sum = 25 Now we have N
Sum = 25
Mean = A +h (sum/N)
= 57 + 3 (45/400)
= 57 + 3/16
= 57 + 0.1875
= 57.19
Clearly mean number of mangoes kept in packing box is 57.19
| Daily expenditure (In Rs): | 100 - 150 | 150 - 200 | 200 - 250 | 250 - 300 | 300 - 350 |
| Number of households: | 4 | 5 | 12 | 2 | 2 |
Solution:
We may calculate class mark (xi) for each interval by using the relation
xi = upperlimit + lowerclasslimit2
Class size = 50
Now, Taking 225 as assumed mean (xi) we may calculate di, ui, fiui as follows
Daily expenditure Frequency f1 Mid value xi di = xi - 225 fiui 100 - 150 4 125 -100 -2 -8 150 - 200 5 175 -50 -1 -5 200 - 250 12 225 0 0 0 250 - 300 2 275 50 1 2 300 - 350 2 325 100 2 4 N = 25 Sum = -7 Now we may observe that
N = 25
Sum = -7
225 + 50 (-7/25)
225 - 14 = 211
So, mean daily expenditure on food is Rs 211
| Concentration of SO2 (in ppm) | Frequency |
| 0.00 - 0.04 | 4 |
| 0.04 - 0.08 | 9 |
| 0.08 - 0.12 | 9 |
| 0.12 - 0.16 | 2 |
| 0.16 - 0.20 | 4 |
| 0.20 - 0.24 | 2 |
Solution:
We may find class marks for each interval by using the relation
x = upperlimit + lowerclasslimit2x =
Class size of this data = 0.04
Now taking 0.04 assumed mean (xi) we may calculate di, ui, fiui as follows
Concentration of SO2 Frequency f1 Class interval xi` di = xi - 0.14 ui fiui 0.00 - 0.04 4 0.02 -0.12 -3 -12 0.04 - 0.08 9 0.06 -0.08 -2 -18 0.08 - 0.12 9 0.10 -0.04 -1 -9 0.12 - 0.16 2 0.14 0 0 0 0.16 - 0.20 4 0.18 0.04 1 4 0.20 - 0.24 2 0.22 0.08 2 4 Total N = 30 Sum = -31 From the table we may observe that
N = 30
Sum = -31
= 0.14 + (0.04)(-31/30)
= 0.099 ppm
So mean concentration of SO2 in the air is 0.099 ppm.
| Number of days: | 0 - 6 | 6 - 10 | 10 - 14 | 14 - 20 | 20 - 28 | 28 - 38 | 38 - 40 |
| Number of students: | 11 | 10 | 7 | 4 | 4 | 3 | 1 |
Solution:
We may find class mark of each interval by using the relation
x = upperlimit + lowerclasslimit2x =
Now, taking 16 as assumed mean (a) we may
Calculate di and fidi as follows
Number of days Number of students fi Xi d = xi + 10 fidi 0 - 6 11 3 -13 -143 6 - 10 10 8 -8 -280 10 - 14 7 12 -4 -28 14 - 20 7 16 0 0 20 - 28 8 24 8 32 28 - 36 3 33 17 51 30 - 40 1 39 23 23 Total N = 40 Sum = -145 Now we may observe that
N = 40
Sum = -145
= 16 + (-145/40)
= 16 - 3.625
= 12.38
So mean number of days is 12.38 days, for which student was absent.
| Literacy rate (in %): | 45 - 55 | 55 - 65 | 65 - 75 | 75 - 85 | 85 - 95 |
| Number of cities: | 3 | 10 | 11 | 8 | 3 |
Solution:
We may find class marks by using the relation
x = upperlimit + lowerclasslimit2x =
Class size (h) for this data = 10
Now taking 70 as assumed mean (a) wrong
Calculate di, ui, fiui as follows
Literacy rate (in %) Number of cities (fi) Mid value xi di = xi - 70 ui = di - 50 fiui 45 - 55 3 50 -20 -20 -6 55 - 65 10 60 -10 -1 -10 65 - 75 11 70 0 0 0 75 - 85 8 80 10 1 8 85 - 95 3 90 20 2 6 Total N = 35 Sum = -2 Now we may observe that
N = 35
Sum = -2
= 70 + (-2/35)
= 70 - 4/7
= 70 - 0.57
= 69.43
So, mean literacy rate is 69.43%