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If each observation of the data is incre...

If each observation of the data is increased by 5, then their mean

A

remains the same

B

becomes 5 times the original mean

C

is decreased by 5

D

is increased by 5

Text Solution

AI Generated Solution

The correct Answer is:
To solve the problem step by step, we will analyze how the mean changes when each observation in a dataset is increased by a constant value. ### Step-by-Step Solution: 1. **Understanding the Mean**: - The mean (average) of a set of observations is calculated using the formula: \[ \text{Mean} = \frac{\text{Sum of observations}}{\text{Number of observations}} \] - Let's denote the observations as \(x_1, x_2, x_3, x_4, x_5\). The mean of these observations can be represented as: \[ \bar{x} = \frac{x_1 + x_2 + x_3 + x_4 + x_5}{5} \] 2. **Increasing Each Observation**: - According to the problem, each observation is increased by 5. Therefore, the new observations will be: \[ x_1 + 5, \quad x_2 + 5, \quad x_3 + 5, \quad x_4 + 5, \quad x_5 + 5 \] 3. **Calculating the New Mean**: - The new mean (let's call it \(\bar{x}_{new}\)) can be calculated as follows: \[ \bar{x}_{new} = \frac{(x_1 + 5) + (x_2 + 5) + (x_3 + 5) + (x_4 + 5) + (x_5 + 5)}{5} \] - This simplifies to: \[ \bar{x}_{new} = \frac{x_1 + x_2 + x_3 + x_4 + x_5 + 25}{5} \] 4. **Separating the Terms**: - We can separate the sum of the original observations and the constant: \[ \bar{x}_{new} = \frac{x_1 + x_2 + x_3 + x_4 + x_5}{5} + \frac{25}{5} \] - This can be simplified to: \[ \bar{x}_{new} = \bar{x} + 5 \] 5. **Conclusion**: - From the calculation, we see that the new mean is equal to the original mean plus 5: \[ \bar{x}_{new} = \bar{x} + 5 \] - Therefore, the mean has increased by 5. ### Final Answer: The mean is increased by 5.
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