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Published on: 11/09/2019
Measures of Central Tendency - Median and Mode
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1.
Calculate Q1 and Q3 from the following data set.
| Marks in Economics | 0-10 | 10-20 | 20-30 | 30-40 | 40-50 | 50-60 | 60-70 | 70-80 |
| No. of students | 5 | 15 | 18 | 12 | 20 | 15 | 7 | 3 |
2.
Find the Q1 and Q3 of the given data 13, 0, 5, 8, - 8, - 5, 10, 7, 1, 0, 0, 4, 6, 16
3.
From the data given below, find median.
| Pocket Expenses | Frequency |
| 0-10 | 2 |
| 10-30 | 9 |
| 30-100 | 3 |
| 100-500 | 5 |
| 500-1000 | 4 |
| 1000-2000 | 2 |
4.
Find the median in the set of numbers given below:
62, 68, 53, 57, 20, 30, 32, 45, 72, 77, 81
5.
The hourly wages of 7 workers are 19, 21, 32, 45,60,65,70. Find the Q1 and Q3 of these wages.
6.
Find the Q1 and Q3 of the following:
4, 5, 6, 7, 8, 9, 12, 13, 15, 10, 20
7.
From the data given below, find median.
| Wages | No. of workers |
| Less than 10 | 50 |
| Less than 20 | 35 |
| Less than 30 | 25 |
| Less than 40 | 20 |
| Less than 50 | 18 |
| Less than 60 | 10 |
8.
Find median from the data given below:
| Wages (per hour): | 20 | 25 | 30 | 35 | 40 | 45 | 50 |
| Number of Workers: | 5 | 7 | 6 | 10 | 5 | 4 | 4 |
9.
The algebraic sum of deviations of a set of n values from arithmetic mean is:
n
0
1
None of the Above
10.
Which average is most affected by extreme values?
Median
Mode
Arithmetic Mean
Geometric Mean
Harmonic Mean
11.
The most suitable average for qualitative measurement is:
Arithmetic Mean
Median
Mode
Geometric Mean
None of the above
12.
Arithmetic mean is a positional value.
13.
An average alone is not enough to compare series.
14.
The sum of deviation of items from median is zero.
15.
Using following data, find median.
210, 312, 30, 243, 12, 453, 210, 910, 540,165
16.
Calculate Median from the following data.
3, 2, 1, 5, 6, 11, 12, 16, 14, 10
17.
Find Median from the following data.
550,400,450,490,300,520,500
18.
Find Median from the following data:
100, 300, 540, 710, 340, 375, 50, 600, 630
1.
| Mark in Economics | No. of students | Cf |
| 0.10 | 5 | 5 |
| 10-20 | 15 | 20 |
| 20-30 | 18 | 38 |
| 30-40 | 12 | 50 |
| 40-50 | 20 | 70 |
| 50-60 | 15 | 85 |
| 60-70 | 7 | 92 |
| 70-80 | 3 | 95 |
| 95 |
\(Q_1=\frac{n}{4}\ observation\frac{95}{4}\ observation\)
Q1 class is 20-30
\(Q_1-l_1\frac{(\frac{N}{4}-C)}{f}(i)\)
Where l1=20;f=18;\(\frac{N}{2}=23.75\);C=20;i=10
\(Q_1=\frac{(23.75-20)}{18}=22.08\)
\(Q_3\frac{3(n)}{4}\ observation\frac{3(95)}{4}=71.25 \ observation\)
Q3 class is 50-60
Then Quartile of a continuous series can be calculated by the below interpolation formula.
\(Q_3l_1\frac{(3\frac{N}{4}-C)}{f}(i)\)
Where l1=50;f=15;\(\frac{3N}{2}=71.25\);C=20;i=10
\(Q_1=\frac{(71.25-70)}{15}=50.83\)
2.
We start off by rearranging the data in order from the smallest to the largest.
| Serial Number | Value |
| 1 | -8 |
| 2 | -5 |
| 3 | 0 |
| 4 | 0 |
| 5 | 0 |
| 6 | 1 |
| 7 | 4 |
| 8 | 5 |
| 9 | 6 |
| 10 | 7 |
| 11 | 8 |
| 12 | 10 |
| 13 | 13 |
| 14 | 14 |
\(Q_1=\frac{n+1}{4}th\ observation\frac{14+1}{4}=3.75th\ item\ observation\)
= size of {Third item + 0.75 (Forth item - Third item)}
\(Q_3=size\ of\frac{3(N+1)}{4}th\ item\ of \ the\ series\frac{3(14+1)}{4}=10.25th\ observation\)
= size of {Tenth item + 0.25 (Eleventh item - Tenth item)}
= 7 + 0.25 (8 - 7) = 7.25
3.
| Pocket expenses | Frequency | Cumulative Frequency |
| Less than 10 | 2 | 2 |
| Less than 30 | 9 | 11 |
| Less than 100 | 3 | 14 |
| Less than 500 | 5 | 19 |
| Less than 1000 | 4 | 23 |
| Less than 2000 | 2 | 25 |
\(Median=size\ of\frac{N}{2}\)
Median = size of \(\frac{25}{2}=12.5^{th}\) item 12.5th item lies in 30-100
We can find median by using the formula equal to
\(Median=l_1+\frac{(\frac{N}{2}-C)}{f}(i)\)
Where l1=30;f=3;\(\frac{N}{2}=12.5\);C = 11; i = 70
\(Median=30+\frac{(12.5-11)}{3}(70)=65\)
4.
From the definition of median, we should be able to tell that the first step is to rearrange the given set of numbers in order of increasing magnitude, i.e. from the lowest to the highest
| Serial Number | Value |
| 1 | 20 |
| 2 | 30 |
| 3 | 32 |
| 4 | 45 |
| 5 | 53 |
| 6 | 57 |
| 7 | 62 |
| 8 | 68 |
| 9 | 72 |
| 10 | 77 |
| 11 | 81 |
\(Median=\frac{n+1}{2}th\ observation \frac{11+1}{2}\) observation=57.
5.
| Serial Number | Value |
| 1 | 19 |
| 2 | 21 |
| 3 | 32 |
| 4 | 45 |
| 5 | 60 |
| 6 | 65 |
| 7 | 70 |
\(Q_1=\frac{n+1}{4}th\ observation\frac{7+1}{4}=2nd\ observation=21\)
\(Q_3=\frac{3(n+1)}{4}th\ observation\frac{3(7+1)}{4}=6th\ observation=65\)
6.
Values of the variable are in ascending order:
i.e. 4, 5, 6, 7, 8, 9, 10, 12, 13, 15,20, So N = 11 (No. of Values)
\(Q_1=size\ of\frac{i(N+1)}{4}\) th item of the series = size of 3rd item = 6
\(Q_3=size\ of\frac{3(N+1)}{4}\) th item of the series = size of 9th item = 13
\(\therefore\) Required Q1 and Q3 are 6 and 13 respectively.
7.
| Wages (class interval) | No. of workers | Cumulative Frequency (Less than type) |
| 10-20 | 15=50-35 | 15 |
| 20-30 | 10=35-25 | 25 |
| 30-40 | 5=25-20 | 30 |
| 40-50 | 2=20-18 | 32 |
| 50-60 | 8=18-10 | 40 |
| 60 and above | 10=10 | 50 |
Median=size of \(\frac{N}{2}\) Item
Median=size of \(\frac{50}{2}=50\) item 25th item lies in 20-30
We can find median by using the formula equal to
\(Median=l_1+\frac{(\frac{N}{2}-C)}{f}(i)\)
I1 = 20; f = 10; \(\frac{N}{2}=25\)
C=10;i=10
\(Median=20+\frac{25-15}{8}(10)=28.625\)
8.
| Wages (per Hour) | Number of workers | Cumulative Frequency |
| 20 | 5 | 5 |
| 25 | 7 | 12 |
| 30 | 6 | 18 |
| 35 | 10 | 28 |
| 40 | 5 | 33 |
| 45 | 4 | 37 |
| 50 | 4 | 41 |
Median = size of \(\frac{N+1}{2}\)
size of \(\frac{41+1}{2}=Item\)
Item 19 to 28 have a value equal to 35. Therefore, median = 35.
9.
(b)
0
10.
(c)
Arithmetic Mean
11.
(b)
Median
12.
(b)
13.
(a)
14.
(b)
15.
( )
226.5
16.
( )
8
17.
( )
490
18.
( )
375
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