Advertisements
Advertisements
प्रश्न
The mean deviation of the series a, a + d, a + 2d, ..., a + 2n from its mean is
विकल्प
\[\frac{(n + 1) d}{2n + 1}\]
\[\frac{nd}{2n + 1}\]
\[\frac{n (n + 1) d}{2n + 1}\]
\[\frac{(2n + 1) d}{n (n + 1)}\]
Advertisements
उत्तर
\[\frac{n (n + 1) d}{2n + 1}\]
|
\[x_i\]
|
\[\left| x_i - X \right| = \left| x_i - \left( a + nd \right) \right|\]
|
|---|---|
| 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
संबंधित प्रश्न
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 mean for the data.
| xi | 5 | 10 | 15 | 20 | 25 |
| fi | 7 | 4 | 6 | 3 | 5 |
Find the mean deviation about the mean for the data.
| xi | 10 | 30 | 50 | 70 | 90 |
| fi | 4 | 24 | 28 | 16 | 8 |
Find the mean deviation about the median for the data.
| xi | 5 | 7 | 9 | 10 | 12 | 15 |
| fi | 8 | 6 | 2 | 2 | 2 | 6 |
Find the mean deviation about the median for the data.
| xi | 15 | 21 | 27 | 30 | 35 |
| fi | 3 | 5 | 6 | 7 | 8 |
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 |
Find the mean deviation about median for the following data:
| Marks | Number of girls |
| 0-10 | 6 |
| 10-20 | 8 |
| 20-30 | 14 |
| 30-40 | 16 |
| 40-50 | 4 |
| 50-60 | 2 |
Calculate the mean deviation about the median of the observation:
3011, 2780, 3020, 2354, 3541, 4150, 5000
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 from the mean for the data:
4, 7, 8, 9, 10, 12, 13, 17
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 from the mean for the data:
(iv) 36, 72, 46, 42, 60, 45, 53, 46, 51, 49
Calculate the mean deviation from the mean for the data:
38, 70, 48, 40, 42, 55, 63, 46, 54, 44a
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 the mean also.
In 34, 66, 30, 38, 44, 50, 40, 60, 42, 51 find the number of observations lying between
\[\bar{ X } \] + M.D, where M.D. is the mean deviation from the mean.
In 22, 24, 30, 27, 29, 31, 25, 28, 41, 42 find the number of observations lying between
\[\bar { X } \] − M.D. and
\[\bar { X } \] + M.D, where M.D. is the mean deviation from the mean.
In 38, 70, 48, 34, 63, 42, 55, 44, 53, 47 find the number of observations lying between
\[\bar { X } \] − M.D. and
\[\bar { X } \] + M.D, where M.D. is the mean deviation from the mean.
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:
| xi | 10 | 30 | 50 | 70 | 90 |
| fi | 4 | 24 | 28 | 16 | 8 |
Compute the mean deviation from the median of the following distribution:
| Class | 0-10 | 10-20 | 20-30 | 30-40 | 40-50 |
| Frequency | 5 | 10 | 20 | 5 | 10 |
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 |
Calculate mean deviation about median age for the age distribution of 100 persons given below:
| Age: | 16-20 | 21-25 | 26-30 | 31-35 | 36-40 | 41-45 | 46-50 | 51-55 |
| Number of persons | 5 | 6 | 12 | 14 | 26 | 12 | 16 | 9 |
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 of the data 2, 9, 9, 3, 6, 9, 4 from the mean is ______.
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 |
Calculate the mean deviation from the median of the following data:
| Class interval | 0 – 6 | 6 – 12 | 12 – 18 | 18 – 24 | 24 – 30 |
| Frequency | 4 | 5 | 3 | 6 | 2 |
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`
Let X = {x ∈ N: 1 ≤ x ≤ 17} and Y = {ax + b: x ∈ X and a, b ∈ R, a > 0}. If mean and variance of elements of Y are 17 and 216 respectively then a + b is equal to ______.
