Complete step-by-step solutions for Exercise 13.1 of Statistics — mean deviation about the mean and about the median, for ungrouped data, discrete frequency distributions, and continuous frequency distributions. Every question is worked with full, properly laid-out tables, in exam-ready detail as per the CBSE 2026-27 syllabus.
Step 1: Find the mean
\bar{x}=\dfrac{4+7+8+9+10+12+13+17}{8}=\dfrac{80}{8}=10
Step 2: Tabulate the deviations and their absolute values
| xi | 4 | 7 | 8 | 9 | 10 | 12 | 13 | 17 | Total |
|---|---|---|---|---|---|---|---|---|---|
| xi − x̄ | −6 | −3 | −2 | −1 | 0 | 2 | 3 | 7 | — |
| |xi − x̄| | 6 | 3 | 2 | 1 | 0 | 2 | 3 | 7 | 24 |
Step 3: Compute the mean deviation
\text{M.D.}(\bar{x})=\dfrac{1}{n}\sum|x_i-\bar{x}|=\dfrac{24}{8}=3
Step 1: Find the mean
\bar{x}=\dfrac{38+70+48+40+42+55+63+46+54+44}{10}=\dfrac{500}{10}=50
Step 2: Tabulate the deviations and their absolute values
| xi | 38 | 70 | 48 | 40 | 42 | 55 | 63 | 46 | 54 | 44 | Total |
|---|---|---|---|---|---|---|---|---|---|---|---|
| xi − x̄ | −12 | 20 | −2 | −10 | −8 | 5 | 13 | −4 | 4 | −6 | — |
| |xi − x̄| | 12 | 20 | 2 | 10 | 8 | 5 | 13 | 4 | 4 | 6 | 84 |
Step 3: Compute the mean deviation
\text{M.D.}(\bar{x})=\dfrac{1}{n}\sum|x_i-\bar{x}|=\dfrac{84}{10}=8.4
Step 1: Arrange the data in ascending order
10,\,11,\,11,\,12,\,13,\,13,\,14,\,16,\,16,\,17,\,17,\,18
Step 2: Find the median
There are n=12 observations (even), so the median is the mean of the 6th and 7th observations:
\text{M}=\dfrac{13+14}{2}=\dfrac{27}{2}=13.5
Step 3: Tabulate the absolute deviations from the median
| xi | 10 | 11 | 11 | 12 | 13 | 13 | 14 | 16 | 16 | 17 | 17 | 18 | Total |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| |xi − M| | 3.5 | 2.5 | 2.5 | 1.5 | 0.5 | 0.5 | 0.5 | 2.5 | 2.5 | 3.5 | 3.5 | 4.5 | 28 |
Step 4: Compute the mean deviation
\text{M.D.}(\text{M})=\dfrac{1}{n}\sum|x_i-\text{M}|=\dfrac{28}{12}=\dfrac{7}{3}\approx2.33
Step 1: Arrange the data in ascending order
36,\,42,\,45,\,46,\,46,\,49,\,51,\,53,\,60,\,72
Step 2: Find the median
There are n=10 observations (even), so the median is the mean of the 5th and 6th observations:
\text{M}=\dfrac{46+49}{2}=\dfrac{95}{2}=47.5
Step 3: Tabulate the absolute deviations from the median
| xi | 36 | 42 | 45 | 46 | 46 | 49 | 51 | 53 | 60 | 72 | Total |
|---|---|---|---|---|---|---|---|---|---|---|---|
| |xi − M| | 11.5 | 5.5 | 2.5 | 1.5 | 1.5 | 1.5 | 3.5 | 5.5 | 12.5 | 24.5 | 70 |
Step 4: Compute the mean deviation
\text{M.D.}(\text{M})=\dfrac{1}{n}\sum|x_i-\text{M}|=\dfrac{70}{10}=7
| xi | 5 | 10 | 15 | 20 | 25 |
|---|---|---|---|---|---|
| fi | 7 | 4 | 6 | 3 | 5 |
Step 1: Set up the working table and find the mean
| xi | fi | fixi | |xi − x̄| | fi|xi − x̄| |
|---|---|---|---|---|
| 5 | 7 | 35 | 9 | 63 |
| 10 | 4 | 40 | 4 | 16 |
| 15 | 6 | 90 | 1 | 6 |
| 20 | 3 | 60 | 6 | 18 |
| 25 | 5 | 125 | 11 | 55 |
| Total | N = 25 | 350 | — | 158 |
\bar{x}=\dfrac{1}{\text{N}}\sum f_ix_i=\dfrac{350}{25}=14
(The |x_i-\bar{x}| column above uses this mean of 14 — e.g. for x_i=5: |5-14|=9.)
Step 2: Compute the mean deviation
\text{M.D.}(\bar{x})=\dfrac{1}{\text{N}}\sum f_i|x_i-\bar{x}|=\dfrac{158}{25}=6.32
| xi | 10 | 30 | 50 | 70 | 90 |
|---|---|---|---|---|---|
| fi | 4 | 24 | 28 | 16 | 8 |
Step 1: Set up the working table and find the mean
| xi | fi | fixi | |xi − x̄| | fi|xi − x̄| |
|---|---|---|---|---|
| 10 | 4 | 40 | 40 | 160 |
| 30 | 24 | 720 | 20 | 480 |
| 50 | 28 | 1400 | 0 | 0 |
| 70 | 16 | 1120 | 20 | 320 |
| 90 | 8 | 720 | 40 | 320 |
| Total | N = 80 | 4000 | — | 1280 |
\bar{x}=\dfrac{1}{\text{N}}\sum f_ix_i=\dfrac{4000}{80}=50
Step 2: Compute the mean deviation
\text{M.D.}(\bar{x})=\dfrac{1}{\text{N}}\sum f_i|x_i-\bar{x}|=\dfrac{1280}{80}=16
| xi | 5 | 7 | 9 | 10 | 12 | 15 |
|---|---|---|---|---|---|---|
| fi | 8 | 6 | 2 | 2 | 2 | 6 |
Step 1: Build the cumulative frequency table
The observations are already in ascending order.
| xi | 5 | 7 | 9 | 10 | 12 | 15 |
|---|---|---|---|---|---|---|
| fi | 8 | 6 | 2 | 2 | 2 | 6 |
| c.f. | 8 | 14 | 16 | 18 | 20 | 26 |
Step 2: Find the median
Here \text{N}=26 is even, so the median is the mean of the 13th and 14th observations. Both lie in the cumulative frequency 14, corresponding to x_i=7:
\text{M}=\dfrac{7+7}{2}=7
Step 3: Tabulate the absolute deviations from the median
| xi | fi | |xi − M| | fi|xi − M| |
|---|---|---|---|
| 5 | 8 | 2 | 16 |
| 7 | 6 | 0 | 0 |
| 9 | 2 | 2 | 4 |
| 10 | 2 | 3 | 6 |
| 12 | 2 | 5 | 10 |
| 15 | 6 | 8 | 48 |
| Total | N = 26 | — | 84 |
Step 4: Compute the mean deviation
\text{M.D.}(\text{M})=\dfrac{1}{\text{N}}\sum f_i|x_i-\text{M}|=\dfrac{84}{26}=\dfrac{42}{13}\approx3.23
| xi | 15 | 21 | 27 | 30 | 35 |
|---|---|---|---|---|---|
| fi | 3 | 5 | 6 | 7 | 8 |
Step 1: Build the cumulative frequency table
| xi | 15 | 21 | 27 | 30 | 35 |
|---|---|---|---|---|---|
| fi | 3 | 5 | 6 | 7 | 8 |
| c.f. | 3 | 8 | 14 | 21 | 29 |
Step 2: Find the median
Here \text{N}=29 is odd, so the median is the \left(\dfrac{29+1}{2}\right)^{\text{th}}=15^{\text{th}} observation. The cumulative frequency just greater than or equal to 15 is 21, corresponding to x_i=30:
\text{M}=30
Step 3: Tabulate the absolute deviations from the median
| xi | fi | |xi − M| | fi|xi − M| |
|---|---|---|---|
| 15 | 3 | 15 | 45 |
| 21 | 5 | 9 | 45 |
| 27 | 6 | 3 | 18 |
| 30 | 7 | 0 | 0 |
| 35 | 8 | 5 | 40 |
| Total | N = 29 | — | 148 |
Step 4: Compute the mean deviation
\text{M.D.}(\text{M})=\dfrac{1}{\text{N}}\sum f_i|x_i-\text{M}|=\dfrac{148}{29}\approx5.10
| Income per day in ₹ | 0-100 | 100-200 | 200-300 | 300-400 | 400-500 | 500-600 | 600-700 | 700-800 |
|---|---|---|---|---|---|---|---|---|
| Number of persons | 4 | 8 | 9 | 10 | 7 | 5 | 4 | 3 |
Step 1: Find the mid-point of each class and set up the working table
| Class | fi | Mid-point xi | fixi | |xi − x̄| | fi|xi − x̄| |
|---|---|---|---|---|---|
| 0-100 | 4 | 50 | 200 | 308 | 1232 |
| 100-200 | 8 | 150 | 1200 | 208 | 1664 |
| 200-300 | 9 | 250 | 2250 | 108 | 972 |
| 300-400 | 10 | 350 | 3500 | 8 | 80 |
| 400-500 | 7 | 450 | 3150 | 92 | 644 |
| 500-600 | 5 | 550 | 2750 | 192 | 960 |
| 600-700 | 4 | 650 | 2600 | 292 | 1168 |
| 700-800 | 3 | 750 | 2250 | 392 | 1176 |
| Total | N = 50 | — | 17900 | — | 7896 |
\bar{x}=\dfrac{1}{\text{N}}\sum f_ix_i=\dfrac{17900}{50}=358
(The |x_i-\bar{x}| column uses this mean of 358 — e.g. for the mid-point 50: |50-358|=308.)
Step 2: Compute the mean deviation
\text{M.D.}(\bar{x})=\dfrac{1}{\text{N}}\sum f_i|x_i-\bar{x}|=\dfrac{7896}{50}=157.92
| Height in cms | 95-105 | 105-115 | 115-125 | 125-135 | 135-145 | 145-155 |
|---|---|---|---|---|---|---|
| Number of boys | 9 | 13 | 26 | 30 | 12 | 10 |
Step 1: Find the mid-point of each class and set up the working table
| Class | fi | Mid-point xi | fixi | |xi − x̄| | fi|xi − x̄| |
|---|---|---|---|---|---|
| 95-105 | 9 | 100 | 900 | 25.3 | 227.7 |
| 105-115 | 13 | 110 | 1430 | 15.3 | 198.9 |
| 115-125 | 26 | 120 | 3120 | 5.3 | 137.8 |
| 125-135 | 30 | 130 | 3900 | 4.7 | 141 |
| 135-145 | 12 | 140 | 1680 | 14.7 | 176.4 |
| 145-155 | 10 | 150 | 1500 | 24.7 | 247 |
| Total | N = 100 | — | 12530 | — | 1128.8 |
\bar{x}=\dfrac{1}{\text{N}}\sum f_ix_i=\dfrac{12530}{100}=125.3
(The |x_i-\bar{x}| column uses this mean of 125.3 — e.g. for the mid-point 100: |100-125.3|=25.3.)
Step 2: Compute the mean deviation
\text{M.D.}(\bar{x})=\dfrac{1}{\text{N}}\sum f_i|x_i-\bar{x}|=\dfrac{1128.8}{100}=11.288
| Marks | 0-10 | 10-20 | 20-30 | 30-40 | 40-50 | 50-60 |
|---|---|---|---|---|---|---|
| Number of Girls | 6 | 8 | 14 | 16 | 4 | 2 |
Step 1: Build the cumulative frequency table with mid-points
| Class | fi | c.f. | Mid-point xi |
|---|---|---|---|
| 0-10 | 6 | 6 | 5 |
| 10-20 | 8 | 14 | 15 |
| 20-30 | 14 | 28 | 25 |
| 30-40 | 16 | 44 | 35 |
| 40-50 | 4 | 48 | 45 |
| 50-60 | 2 | 50 | 55 |
Step 2: Find the median
Here \text{N}=50, so \dfrac{\text{N}}{2}=25. The class whose cumulative frequency is just greater than or equal to 25 is 20\text{-}30 — this is the median class, with l=20, \text{C}=14 (c.f. of the preceding class), f=14, h=10.
\text{Median}=l+\dfrac{\dfrac{\text{N}}{2}-\text{C}}{f}\times h=20+\dfrac{25-14}{14}\times10=20+\dfrac{110}{14}=\dfrac{195}{7}\approx27.86
Step 3: Tabulate the absolute deviations from the median
| Class | fi | Mid-point xi | |xi − M| | fi|xi − M| |
|---|---|---|---|---|
| 0-10 | 6 | 5 | 22.86 | 137.1 |
| 10-20 | 8 | 15 | 12.86 | 102.9 |
| 20-30 | 14 | 25 | 2.86 | 40 |
| 30-40 | 16 | 35 | 7.14 | 114.3 |
| 40-50 | 4 | 45 | 17.14 | 68.6 |
| 50-60 | 2 | 55 | 27.14 | 54.3 |
| Total | N = 50 | — | — | 517.1 |
Step 4: Compute the mean deviation
\text{M.D.}(\text{M})=\dfrac{1}{\text{N}}\sum f_i|x_i-\text{M}|=\dfrac{1}{50}\times\dfrac{3620}{7}=\dfrac{362}{35}\approx10.34
| Age (in years) | 16-20 | 21-25 | 26-30 | 31-35 | 36-40 | 41-45 | 46-50 | 51-55 |
|---|---|---|---|---|---|---|---|---|
| Number | 5 | 6 | 12 | 14 | 26 | 12 | 16 | 9 |
Step 1: Convert the data into a continuous frequency distribution
Following the hint, 0.5 is subtracted from every lower limit and added to every upper limit:
| Original class | Continuous class | fi | c.f. | Mid-point xi |
|---|---|---|---|---|
| 16-20 | 15.5-20.5 | 5 | 5 | 18 |
| 21-25 | 20.5-25.5 | 6 | 11 | 23 |
| 26-30 | 25.5-30.5 | 12 | 23 | 28 |
| 31-35 | 30.5-35.5 | 14 | 37 | 33 |
| 36-40 | 35.5-40.5 | 26 | 63 | 38 |
| 41-45 | 40.5-45.5 | 12 | 75 | 43 |
| 46-50 | 45.5-50.5 | 16 | 91 | 48 |
| 51-55 | 50.5-55.5 | 9 | 100 | 53 |
Step 2: Find the median
Here \text{N}=100, so \dfrac{\text{N}}{2}=50. The class whose cumulative frequency is just greater than or equal to 50 is 35.5\text{-}40.5 — this is the median class, with l=35.5, \text{C}=37, f=26, h=5.
\text{Median}=l+\dfrac{\dfrac{\text{N}}{2}-\text{C}}{f}\times h=35.5+\dfrac{50-37}{26}\times5=35.5+2.5=38
Step 3: Tabulate the absolute deviations from the median
| Class | fi | Mid-point xi | |xi − M| | fi|xi − M| |
|---|---|---|---|---|
| 15.5-20.5 | 5 | 18 | 20 | 100 |
| 20.5-25.5 | 6 | 23 | 15 | 90 |
| 25.5-30.5 | 12 | 28 | 10 | 120 |
| 30.5-35.5 | 14 | 33 | 5 | 70 |
| 35.5-40.5 | 26 | 38 | 0 | 0 |
| 40.5-45.5 | 12 | 43 | 5 | 60 |
| 45.5-50.5 | 16 | 48 | 10 | 160 |
| 50.5-55.5 | 9 | 53 | 15 | 135 |
| Total | N = 100 | — | — | 735 |
Step 4: Compute the mean deviation
\text{M.D.}(\text{M})=\dfrac{1}{\text{N}}\sum f_i|x_i-\text{M}|=\dfrac{735}{100}=7.35
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