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Mean of n observations x(1), x(2), ....,...

Mean of n observations `x_(1), x_(2), ....,x_(n)` is `bar(x)`. If an observation `x_(q)` is replaced by `x'_(q)` then the new mean is

A

`bar(x)=x_(q)+x'_(q)`

B

`((n-1)bar(x)+x'_(q))/(n)`

C

`((n-1)bar(x)-x'_(q))/(n)`

D

`(n bar(x)-x_(q)+x'_(q))/(n)`

Text Solution

AI Generated Solution

The correct Answer is:
To find the new mean after replacing an observation in a set of data, we can follow these steps: ### Step-by-Step Solution: 1. **Understand the Mean Formula**: The mean (average) of n observations \( x_1, x_2, \ldots, x_n \) is given by: \[ \bar{x} = \frac{x_1 + x_2 + \ldots + x_n}{n} \] This can also be expressed in summation notation as: \[ \bar{x} = \frac{\sum_{i=1}^{n} x_i}{n} \] 2. **Calculate the Sum of Observations**: From the mean formula, we can express the sum of the observations as: \[ \sum_{i=1}^{n} x_i = n \cdot \bar{x} \] 3. **Replace the Observation**: Suppose we replace the observation \( x_q \) with a new observation \( x'_q \). The new sum of observations will be: \[ \sum_{i=1}^{n} x_i' = \sum_{i=1}^{n} x_i - x_q + x'_q \] Substituting the expression for the sum: \[ \sum_{i=1}^{n} x_i' = n \cdot \bar{x} - x_q + x'_q \] 4. **Calculate the New Mean**: The new mean \( \bar{x}' \) after the replacement can be calculated as: \[ \bar{x}' = \frac{\sum_{i=1}^{n} x_i'}{n} \] Substituting the new sum into this formula gives: \[ \bar{x}' = \frac{n \cdot \bar{x} - x_q + x'_q}{n} \] 5. **Simplify the Expression**: This simplifies to: \[ \bar{x}' = \bar{x} + \frac{x'_q - x_q}{n} \] ### Final Answer: Thus, the new mean after replacing the observation \( x_q \) with \( x'_q \) is: \[ \bar{x}' = \bar{x} + \frac{x'_q - x_q}{n} \]
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