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If the mean of a set of observations `x_(1),x_(2), …,x_(n)" is " bar(X)`, then the mean of the observations `x_(i) +2i , i=1, 2, ..., n` is

A

`bar(X) +2`

B

`bar(X) +2n`

C

`bar(X)+(n+1)`

D

`X+n`

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The correct Answer is:
To find the mean of the observations \( x_i + 2i \) for \( i = 1, 2, \ldots, n \), we can follow these steps: ### Step 1: Understand the Mean of Original Observations Given that the mean of the observations \( x_1, x_2, \ldots, x_n \) is \( \bar{X} \), we can express this mathematically: \[ \bar{X} = \frac{x_1 + x_2 + \ldots + x_n}{n} \] ### Step 2: Calculate the New Observations The new observations are given by \( x_i + 2i \) for \( i = 1, 2, \ldots, n \). Therefore, we can write: \[ \text{New Observations} = (x_1 + 2 \cdot 1), (x_2 + 2 \cdot 2), \ldots, (x_n + 2n) \] ### Step 3: Find the Sum of the New Observations The sum of the new observations can be expressed as: \[ \text{Sum} = (x_1 + 2 \cdot 1) + (x_2 + 2 \cdot 2) + \ldots + (x_n + 2n) \] This can be simplified to: \[ \text{Sum} = (x_1 + x_2 + \ldots + x_n) + 2(1 + 2 + \ldots + n) \] ### Step 4: Use the Formula for the Sum of the First n Natural Numbers The sum of the first \( n \) natural numbers \( 1 + 2 + \ldots + n \) is given by the formula: \[ 1 + 2 + \ldots + n = \frac{n(n + 1)}{2} \] Thus, we can substitute this into our sum: \[ \text{Sum} = (x_1 + x_2 + \ldots + x_n) + 2 \cdot \frac{n(n + 1)}{2} \] This simplifies to: \[ \text{Sum} = (x_1 + x_2 + \ldots + x_n) + n(n + 1) \] ### Step 5: Calculate the Mean of the New Observations Now, we can find the mean of the new observations: \[ \text{Mean} = \frac{\text{Sum}}{n} = \frac{(x_1 + x_2 + \ldots + x_n) + n(n + 1)}{n} \] Substituting \( \bar{X} \) for the sum of the original observations: \[ \text{Mean} = \frac{n \bar{X} + n(n + 1)}{n} \] This simplifies to: \[ \text{Mean} = \bar{X} + (n + 1) \] ### Final Answer Thus, the mean of the observations \( x_i + 2i \) is: \[ \bar{X} + (n + 1) \]
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OBJECTIVE RD SHARMA-MEASURES OF CENTRAL TENDENCY-Exercise
  1. If the mean of a set of observations x(1),x(2), …,x(n)" is " bar(X), t...

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  2. If a variate X is expressed as a linear function of two variates U and...

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  3. The AM of n numbers of a series is bar(X). If the sum of first (n-1)...

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  4. The means of a set of numbers is bar(X). If each number is divided by ...

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  5. The weighted mean of first n natural numbers when their weights are e...

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  6. The A.M. of the series 1, 2, 4, 8, 16,.....,2^n is -

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  7. If the mean of n observations x1,x2,x3...xn is barx then the sum of de...

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  8. The one which is the measure of the central tendency is

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  9. The most stable measure of central tendency is

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  10. The mean of the distribution, in which the values of X are 1, 2, ..,n ...

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  11. 10 is the mean of a set of 7 observations and 5 is the mean of a set o...

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  12. A statistical measure which cannot be determind graphically is

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  13. The measure which takes into account all the data items is

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  14. An ogive is used to determine

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  15. The geometric mean of the series 1,2,4,8,16,....,2^n is

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  16. If G(1),G(2) are the geometric means fo two series of observations and...

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  17. If G is the GM of the product of r sets of observations with geometric...

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  18. A group of 10 items has arithmetic mean 6. If the arithmetic mean of 4...

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  19. The arithmetic mean of a set of observations is bar(X). If each observ...

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  20. The weighted means of of first n natural numbers whose weights are equ...

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