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 | Number of consumers |
|---|---|
65 - 85 | 4 |
85 - 105 | 5 |
105 - 125 | 13 |
125 - 145 | 20 |
145 - 165 | 14 |
165 - 185 | 8 |
185 - 205 | 4 |
The cumulative frequencies with their respective class intervals are as follows.
Monthly consumption | Number of consumers | Cumulative frequency |
|---|---|---|
60 - 85 | 4 | 4 |
85 - 105 | 5 | 4 + 5 = 9 |
105 - 125 | 13 | 9 + 13 = 22 |
125 - 145 | 20 | 22 + 20 = 42 |
145 - 165 | 14 | 42 + 14 = 56 |
165 - 185 | 8 | 56 + 8 = 64 |
185 - 205 | 4 | 64 + 4 = 68 |
Total(n) | 68 |
From the table, we obtain
n = 68
Cumulative frequency just greater \(\frac{n}2 ( i.e., \frac{68}2 = 34)\) than is 42, belonging to class interval 125 - 145.
Median class = 125 - 145
Lower limit (\(l\)) of median class = 125
Frequency (\(f\)) of median class = 20
Cumulative frequency (\(cf\)) of median class = 22
Class size (\(h\)) = 20
Median = \(l + (\frac{\frac{n}2 - cf}f \times h)\)
Median = \(125 + (\frac{34 - 22}{20} \times 20)\)
Median = 125 +12
Median = 137
To find the class mark (xi) for each interval, the following relation is used.
Class mark \((x_i)\) = \(\frac {\text{Upper \,limit + Lower \,limit}}{2}\)
Taking 11.5 as assumed mean (a), \(d_i\), \(u_i\), and \(f_iu_i\) are calculated according to step deviation method as follows.
Monthly consumption | Number of consumers | \(\bf{x_i}\) | \(\bf{d_i = x_i -11.5}\) | \(\bf{u_i = \frac{d_i}{3}}\) | \(\bf{f_iu_i}\) |
|---|---|---|---|---|---|
60 - 85 | 4 | 75 | -60 | -3 | -12 |
85 - 105 | 5 | 95 | -40 | -2 | -10 |
105 - 125 | 13 | 115 | -20 | -1 | -13 |
125 - 145 | 20 | 135 | 0 | 0 | 0 |
145 - 165 | 14 | 155 | 20 | 1 | 14 |
165 - 185 | 8 | 175 | 40 | 2 | 16 |
185 - 205 | 4 | 195 | 60 | 3 | 12 |
Total | 68 | 7 |
From the table, it can be observed that
\(\sum f_i = 68\)
\(\sum f_iu_i = 7\)
Mean, \(\overset{-}{x} = a + (\frac{\sum f_iu_i}{\sum f_i})\times h\)
\(\overset{-}{x}\) = \(135 + (\frac{7 }{68})\times 20\)
\(\overset{-}{x}\) = 135 + \(\frac{140}{68}\)
Mean, \(\overset{-}{x}\) = 137.058
The data in the given table can be written as
Monthly consumption | Number of consumers |
|---|---|
65 - 85 | 4 |
85 - 105 | 5 |
105 - 125 | 13 |
125 - 145 | 20 |
145 - 165 | 14 |
165 - 185 | 8 |
185 - 205 | 4 |
From the table, it can be observed that the maximum class frequency is 20, belonging to class interval 125 − 145.
Therefore, Modal class = 125 − 145
Lower limit (\(l\)) of modal class = 125
Frequency (\(f_1\)) of modal class = 40
Frequency (\(f_0\)) of class preceding the modal class = 13
Frequency (\(f_2\)) of class succeeding the modal class = 14
Class size (\(h\)) = 20
Mode = \(l\) + \((\frac{f_1 - f_0 }{2f_1 - f_0 - f_2)} \times h\)
Mode = \(125 + (\frac{20 - 13 }{ 2(20) - 13 - 14}) \times 20\)
Mode =\(125+ [\frac{7}{13}] \times 20\)
Mode = \(125 +( \frac{ 140}{ 13})\)
Mode = 135.76
Therefore, median, mode, mean of the given data is 137, 135.76, and 137.05 respectively. The three measures are approximately the same in this case.
The distribution below gives the weights of 30 students of a class. Find the median weight of the students.
| Weight (in kg) | 40 - 45 | 45 - 50 | 50 - 55 | 65 - 60 | 70- 65 | 65 - 70 | 70 - 75 |
|---|---|---|---|---|---|---|---|
| Number of students | 2 | 3 | 8 | 6 | 6 | 3 | 2 |
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 letters | 1 - 4 | 4 - 7 | 7 - 10 | 10 - 13 | 13 - 16 | 16 - 19 |
|---|---|---|---|---|---|---|
Number of surnames | 6 | 30 | 40 | 16 | 4 | 4 |
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.
The following table gives the distribution of the life time of 400 neon lamps :
| Life time (in hours) | Number of lamps |
|---|---|
1500 - 2000 | 14 |
2000 - 2500 | 56 |
2500 - 3000 | 60 |
3000 - 3500 | 86 |
3500 - 4000 | 74 |
4000 - 4500 | 62 |
4500 - 5000 | 48 |
Find the median life time of a lamp.
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 - 126 | 3 |
127 - 135 | 5 |
136 - 144 | 9 |
145 - 153 | 12 |
154 - 162 | 5 |
163 - 171 | 4 |
172 - 180 | 2 |
Find the median length of the leaves.
(Hint : The data needs to be converted to continuous classes for finding the median, since the formula assumes continuous classes. The classes then change to 117.5 - 126.5, 126.5 - 135.5, . . ., 171.5 - 180.5.)
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 20 | 2 |
Below 25 | 6 |
Below 30 | 24 |
Below 35 | 45 |
Below 40 | 78 |
Below 45 | 89 |
Below 50 | 92 |
Below 55 | 98 |
Below 60 | 100 |
| Case No. | Lens | Focal Length | Object Distance |
|---|---|---|---|
| 1 | \(A\) | 50 cm | 25 cm |
| 2 | B | 20 cm | 60 cm |
| 3 | C | 15 cm | 30 cm |