The mean of 15 observations is 14. Three more observations are included and the new mean becomes 13. The mean of three new observations is: A. 6 B. 7 C. 8 D. 11
C
The problem asks us to find the mean of three new observations added to a dataset, given the initial mean and the new mean after inclusion.
The mean of a set of observations is calculated by dividing the sum of all observations by the total number of observations.
The formula for the mean ($\bar{x}$) is:
$$\bar{x} = \frac{\text{Sum of observations}}{\text{Number of observations}}$$
From this, we can find the sum of observations if we know the mean and the number of observations:
$$\text{Sum of observations} = \bar{x} \times \text{Number of observations}$$
We are given that the mean of 15 observations is 14.
Sum of initial 15 observations ($S_1$) = $\bar{x}_1 \times n_1$
$$S_1 = 14 \times 15$$
$$S_1 = 210$$
So, the sum of the initial 15 observations is 210.
Three more observations are included in the dataset.
Total number of observations ($n_2$) = Initial observations + New observations
$$n_2 = 15 + 3$$
$$n_2 = 18$$
The new total number of observations is 18.
We are told that the new mean of the 18 observations becomes 13.
Sum of all 18 observations ($S_2$) = $\bar{x}_2 \times n_2$
$$S_2 = 13 \times 18$$
To calculate $13 \times 18$:
$$S_2 = 234$$
The sum of all 18 observations is 234.
The sum of all 18 observations is the sum of the initial 15 observations plus the sum of the three new observations.
Sum of new observations ($S_{\text{new}}$) = Sum of all 18 observations - Sum of initial 15 observations
$$S_{\text{new}} = S_2 - S_1$$
$$S_{\text{new}} = 234 - 210$$
$$S_{\text{new}} = 24$$
The sum of the three new observations is 24.
To find the mean of the three new observations, we divide their sum by the number of new observations (which is 3).
Number of new observations = 3
Sum of new observations ($S_{\text{new}}$) = 24
Mean of new observations ($\bar{x}_{\text{new}}$) = $\frac{S_{\text{new}}}{\text{Number of new observations}}$
$$\bar{x}_{\text{new}} = \frac{24}{3}$$
$$\bar{x}_{\text{new}} = 8$$
The mean of the three new observations is 8.
Let's summarise the steps and results:
| Description | Value | Calculation |
|---|---|---|
| Initial Number of Observations ($n_1$) | 15 | Given |
| Initial Mean ($\bar{x}_1$) | 14 | Given |
| Sum of Initial Observations ($S_1$) | 210 | $14 \times 15$ |
| Number of New Observations | 3 | Given |
| Total Number of Observations ($n_2$) | 18 | $15 + 3$ |
| New Mean ($\bar{x}_2$) | 13 | Given |
| Sum of All Observations ($S_2$) | 234 | $13 \times 18$ |
| Sum of New Observations ($S_{\text{new}}$) | 24 | $234 - 210$ |
| Mean of New Observations ($\bar{x}_{\text{new}}$) | 8 | $24 / 3$ |
The mean of the three new observations is 8.
| Concept | Formula | Explanation |
|---|---|---|
| Mean ($\bar{x}$) | $\frac{\Sigma x}{n}$ | Sum of observations divided by the number of observations. |
| Sum of Observations ($\Sigma x$) | $\bar{x} \times n$ | Mean multiplied by the number of observations. Useful for finding total value. |
| Effect of Adding Observations | Change in Sum / Change in Number | Adding new observations changes both the total sum and the total count, affecting the mean. |
The mean is one type of average, also known as the arithmetic mean. Other common averages include the median and the mode.
The mean is widely used because it includes every value in the dataset in its calculation, but it can be skewed by very large or very small values.
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