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If the standard deviation of 1,2,3,4.......

If the standard deviation of 1,2,3,4.......10 is `sigma`, then find the standard deviation of 11, 12,13,14,.....,20.

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To find the standard deviation of the series 11, 12, 13, ..., 20, given that the standard deviation of the series 1, 2, 3, ..., 10 is `σ`, we can follow these steps: ### Step 1: Calculate the Mean of the First Series The mean of the series 1, 2, 3, ..., 10 can be calculated as follows: \[ \text{Mean} = \frac{\text{Sum of observations}}{\text{Number of observations}} = \frac{1 + 2 + 3 + ... + 10}{10} \] The sum of the first 10 natural numbers is: \[ \text{Sum} = \frac{n(n + 1)}{2} = \frac{10 \times 11}{2} = 55 \] Thus, the mean is: \[ \text{Mean} = \frac{55}{10} = 5.5 \] ### Step 2: Understand the Transformation The second series is obtained by adding 10 to each element of the first series. Therefore, if \( x_i \) is an element from the first series, the corresponding element in the second series can be represented as \( y_i = x_i + 10 \). ### Step 3: Calculate the Mean of the Second Series The mean of the second series (11, 12, ..., 20) can be calculated as: \[ \text{Mean of second series} = \text{Mean of first series} + 10 = 5.5 + 10 = 15.5 \] ### Step 4: Calculate the Standard Deviation The standard deviation formula is: \[ \sigma = \sqrt{\frac{\sum (x_i - \bar{x})^2}{n - 1}} \] For the first series, we know that the standard deviation is `σ`. For the second series, the transformation does not affect the spread of the data; it only shifts the data. Therefore, the standard deviation of the second series remains the same as that of the first series. ### Conclusion Thus, the standard deviation of the series 11, 12, 13, ..., 20 is also `σ`.
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