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Mean deviations of the series a,a+d,a+2d...

Mean deviations of the series `a,a+d,a+2d, . . .,a+2nd` from its mean is

A

`(n(n+1)d)/((2n+1))`

B

`(nd)/(2n+1)`

C

`((n+1)d)/(2n+1)`

D

`((2n+1)d)/(n(n+1))`

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The correct Answer is:
To find the mean deviation of the series \( a, a+d, a+2d, \ldots, a+2nd \) from its mean, we will follow these steps: ### Step 1: Identify the Series The series is an arithmetic progression (AP) given by: \[ a, a+d, a+2d, \ldots, a+2nd \] ### Step 2: Determine the Number of Terms The number of terms in the series can be calculated as follows: - The first term is \( a \) (when \( n=0 \)). - The last term is \( a + 2nd \) (when \( n=2n \)). - The total number of terms \( N \) is \( 2n + 1 \). ### Step 3: Calculate the Mean The mean \( \bar{x} \) of the series can be calculated using the formula for the mean of an arithmetic series: \[ \bar{x} = \frac{\text{Sum of all terms}}{\text{Number of terms}} \] The sum of the series can be calculated as: \[ \text{Sum} = a + (a+d) + (a+2d) + \ldots + (a+2nd) \] This can be simplified: \[ \text{Sum} = (2n + 1)a + d(0 + 1 + 2 + \ldots + 2n) \] Using the formula for the sum of the first \( m \) natural numbers, \( 0 + 1 + 2 + \ldots + m = \frac{m(m+1)}{2} \), we have: \[ 0 + 1 + 2 + \ldots + 2n = \frac{2n(2n+1)}{2} = n(2n+1) \] Thus, the sum becomes: \[ \text{Sum} = (2n + 1)a + d \cdot n(2n + 1) = (2n + 1)(a + nd) \] Now, substituting back into the mean formula: \[ \bar{x} = \frac{(2n + 1)(a + nd)}{2n + 1} = a + nd \] ### Step 4: Calculate the Mean Deviation The mean deviation \( D \) is defined as: \[ D = \frac{\sum |x_i - \bar{x}|}{N} \] Where \( x_i \) are the terms of the series. We will calculate \( |x_i - \bar{x}| \) for each term: \[ |x_i - \bar{x}| = |(a + kd) - (a + nd)| = |kd - nd| = |(k - n)d| \] Where \( k \) ranges from \( 0 \) to \( 2n \). Now, we calculate the sum of the absolute deviations: \[ \sum |x_i - \bar{x}| = \sum_{k=0}^{2n} |(k - n)d| = d \sum_{k=0}^{2n} |k - n| \] This can be split into two parts: - For \( k = 0 \) to \( n \): \( n - k \) - For \( k = n+1 \) to \( 2n \): \( k - n \) Calculating these sums: 1. From \( k = 0 \) to \( n \): \[ \sum_{k=0}^{n} (n - k) = n(n + 1)/2 \] 2. From \( k = n+1 \) to \( 2n \): \[ \sum_{k=n+1}^{2n} (k - n) = \sum_{j=1}^{n} j = n(n + 1)/2 \] Thus, the total sum of absolute deviations is: \[ \sum |x_i - \bar{x}| = d \left( \frac{n(n + 1)}{2} + \frac{n(n + 1)}{2} \right) = d \cdot n(n + 1) \] Finally, the mean deviation is: \[ D = \frac{d \cdot n(n + 1)}{2n + 1} \] ### Final Result The mean deviation of the series \( a, a+d, a+2d, \ldots, a+2nd \) from its mean is: \[ D = \frac{d \cdot n(n + 1)}{2n + 1} \]
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ML KHANNA-MEASURES OF CENTRAL TENDENCY -Problem Set (1) (Measures of Disperation)
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  3. If s.d. of X is sigma then s.d. of the variable U=(aX+b)/(c ) where a,...

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  4. The mean of five observations is 44 and and the variance is 8*24. Thre...

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  5. Mean deviations of the series a,a+d,a+2d, . . .,a+2nd from its mean is

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  6. A sample of 35 observations has the means 80 and SD. As 4. A second sa...

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  7. The first of the two samples have 100 items with mean 15 and S.D.3. If...

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  9. Coefficient of skewness for the values {:("Median = "18*8''),(Q...

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  10. For a series the value of men deviation is 15. The most likely ...

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  11. Karl Pearson's coefficient of skewness of a distribution is 0*32. Its ...

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  12. Which of the following are dimensionless

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  13. The variance of the first n natural numbers is

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  14. An incomplete frequency distribution is given below Median value ...

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  15. Mean deviation about the mean bar(x) of the variate x is (2)/(N)[ba...

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  16. If r be the range and S={(1)/(n-1)Sigma(i)(x(i)-bar(x))^(2)}^(1//2) b...

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  17. The score of two golfers for 10 rounds each are A : 58,59,60,54,65,6...

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  18. If the variable takes the values 0,1,2, . . .,n with frequencies propo...

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  19. A student obtained the mean and s.d. of the observations as 40 and 5*1...

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  20. The S.D. is not less than the mean deviation. True/False

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