Advertisements
Advertisements
Question
The mean deviation of the series a, a + d, a + 2d, ..., a + 2n from its mean is
Options
\[\frac{(n + 1) d}{2n + 1}\]
\[\frac{nd}{2n + 1}\]
\[\frac{n (n + 1) d}{2n + 1}\]
\[\frac{(2n + 1) d}{n (n + 1)}\]
Advertisements
Solution
\[\frac{n (n + 1) d}{2n + 1}\]
|
\[x_i\]
|
\[\left| x_i - X \right| = \left| x_i - \left( a + nd \right) \right|\]
|
|---|---|
| a | nd |
| a + d | (n-1)d |
| a + 2d | (n-2)d |
| a + 3d | (n-3)d |
| : | : |
| : | : |
| a + (n - 1)d | d |
| a + nd | 0 |
| a + (n+1)d | d |
| : | : |
| : | : |
| a + 2nd | nd |
|
\[\sum_{} x_i = \left( 2n + 1 \right)\left( a + nd \right)\]
|
\[\sum_{} \left| x_i - X \right| = n\left( n + 1 \right)d\]
|
\[\text{ There are 2n + 1 terms } . \]
\[ \Rightarrow N = 2n + 1\]
\[ \sum_{} x_i = a + a + d + a + 2d + a + 3d + . . . + a + 2nd\]
\[ = (2n + 1)a + d (1 + 2 + 3 + . . . + 2n) \left[ a + a + a + . . . (2n + 1) \text{ times } = \left( 2n + 1 \right) a \right]\]
\[ = (2n + 1)a + \frac{2n\left( 2n + 1 \right)d}{2} \left[ \text{ Sum of the first n natural numbers is } \frac{n (n + 1)}{2}, \text{ but here we are considering the first 2n numbers } . \right]\]
\[ = \left( 2n + 1 \right)a + \left( 2n + 1 \right)nd \]
\[ = \left( 2n + 1 \right)\left( a + nd \right)\]
\[X = \frac{\left( 2n + 1 \right)\left( a + nd \right)}{\left( 2n + 1 \right)}\]
\[ = a + nd\]
\[ \sum_{} \left| x_i - X \right| = nd + (n - 1)d + (n - 2)d + . . . + d + 0 + d + 2 d + 3d + . . . + nd\]
\[ = d\left( n + \left( n - 1 \right) + \left( n - 2 \right) + . . . + 1 \right) + 0 + d\left( 1 + 2 + 3 + . . . + n \right)\]
\[ = \frac{dn\left( n + 1 \right)}{2} + \frac{dn\left( n + 1 \right)}{2} \left\{ \because 1 + 2 + 3 + . . . + n = \frac{n\left( n + 1 \right)}{2} \right\}\]
\[ = n(n + 1)d\]
\[\text{ Mean deviation about the mean } = \frac{\sum_{} \left| x_i - X \right|}{N}\]
\[ = \frac{n(n + 1)d}{\left( 2n + 1 \right)}\]
APPEARS IN
RELATED QUESTIONS
Find the mean deviation about the mean for the data.
38, 70, 48, 40, 42, 55, 63, 46, 54, 44
Find the mean deviation about the median for the data.
13, 17, 16, 14, 11, 13, 10, 16, 11, 18, 12, 17
Find the mean deviation about the mean for the data.
| Income per day in ₹ | Number of persons |
| 0-100 | 4 |
| 100-200 | 8 |
| 200-300 | 9 |
| 300-400 | 10 |
| 400-500 | 7 |
| 500-600 | 5 |
| 600-700 | 4 |
| 700-800 | 3 |
Calculate the mean deviation about the median of the observation:
38, 70, 48, 34, 42, 55, 63, 46, 54, 44
Calculate the mean deviation about the median of the observation:
22, 24, 30, 27, 29, 31, 25, 28, 41, 42
Calculate the mean deviation about the median of the observation:
38, 70, 48, 34, 63, 42, 55, 44, 53, 47
Calculate the mean deviation from the mean for the data:
13, 17, 16, 14, 11, 13, 10, 16, 11, 18, 12, 17
Calculate the mean deviation of the following income groups of five and seven members from their medians:
| I Income in Rs. |
II Income in Rs. |
| 4000 4200 4400 4600 4800 |
300 4000 4200 4400 4600 4800 5800 |
The lengths (in cm) of 10 rods in a shop are given below:
40.0, 52.3, 55.2, 72.9, 52.8, 79.0, 32.5, 15.2, 27.9, 30.2
Find mean deviation from median
Find the mean deviation from the mean for the data:
| xi | 5 | 10 | 15 | 20 | 25 |
| fi | 7 | 4 | 6 | 3 | 5 |
Find the mean deviation from the mean for the data:
| Size | 20 | 21 | 22 | 23 | 24 |
| Frequency | 6 | 4 | 5 | 1 | 4 |
Find the mean deviation from the median for the data:
| xi | 74 | 89 | 42 | 54 | 91 | 94 | 35 |
| fi | 20 | 12 | 2 | 4 | 5 | 3 | 4 |
Find the mean deviation from the mean for the data:
| Classes | 0-100 | 100-200 | 200-300 | 300-400 | 400-500 | 500-600 | 600-700 | 700-800 |
| Frequencies | 4 | 8 | 9 | 10 | 7 | 5 | 4 | 3 |
Find the mean deviation from the mean for the data:
| Classes | 95-105 | 105-115 | 115-125 | 125-135 | 135-145 | 145-155 |
| Frequencies | 9 | 13 | 16 | 26 | 30 | 12 |
Find the mean deviation from the mean for the data:
| Classes | 0-10 | 10-20 | 20-30 | 30-40 | 40-50 | 50-60 |
| Frequencies | 6 | 8 | 14 | 16 | 4 | 2 |
Compute mean deviation from mean of the following distribution:
| Mark | 10-20 | 20-30 | 30-40 | 40-50 | 50-60 | 60-70 | 70-80 | 80-90 |
| No. of students | 8 | 10 | 15 | 25 | 20 | 18 | 9 | 5 |
The age distribution of 100 life-insurance policy holders is as follows:
| Age (on nearest birth day) | 17-19.5 | 20-25.5 | 26-35.5 | 36-40.5 | 41-50.5 | 51-55.5 | 56-60.5 | 61-70.5 |
| No. of persons | 5 | 16 | 12 | 26 | 14 | 12 | 6 | 5 |
Calculate the mean deviation from the median age
Calculate the mean deviation about the mean for the following frequency distribution:
| Class interval: | 0–4 | 4–8 | 8–12 | 12–16 | 16–20 |
| Frequency | 4 | 6 | 8 | 5 | 2 |
The mean of 5 observations is 4.4 and their variance is 8.24. If three of the observations are 1, 2 and 6, find the other two observations.
For a frequency distribution mean deviation from mean is computed by
The mean deviation of the numbers 3, 4, 5, 6, 7 from the mean is
The mean deviation of the data 3, 10, 10, 4, 7, 10, 5 from the mean is
The mean deviation for n observations \[x_1 , x_2 , . . . , x_n\] from their mean \[\bar{X} \] is given by
The mean deviation of the data 2, 9, 9, 3, 6, 9, 4 from the mean is ______.
Find the mean deviation about the median of the following distribution:
| Marks obtained | 10 | 11 | 12 | 14 | 15 |
| No. of students | 2 | 3 | 8 | 3 | 4 |
Calculate the mean deviation about the mean of the set of first n natural numbers when n is an odd number.
Calculate the mean deviation about the mean of the set of first n natural numbers when n is an even number.
Mean and standard deviation of 100 items are 50 and 4, respectively. Find the sum of all the item and the sum of the squares of the items.
Find the mean and variance of the frequency distribution given below:
| `x` | 1 ≤ x < 3 | 3 ≤ x < 5 | 5 ≤ x < 7 | 7 ≤ x < 10 |
| `f` | 6 | 4 | 5 | 1 |
The mean deviation of the data 3, 10, 10, 4, 7, 10, 5 from the mean is ______.
When tested, the lives (in hours) of 5 bulbs were noted as follows: 1357, 1090, 1666, 1494, 1623
The mean deviations (in hours) from their mean is ______.
If `barx` is the mean of n values of x, then `sum_(i = 1)^n (x_i - barx)` is always equal to ______. If a has any value other than `barx`, then `sum_(i = 1)^n (x_i - barx)^2` is ______ than `sum(x_i - a)^2`
The sum of squares of the deviations of the values of the variable is ______ when taken about their arithmetic mean.
If the mean deviation of number 1, 1 + d, 1 + 2d, ..., 1 + 100d from their mean is 255, then d is equal to ______.
