The mean of 12 observations is 15. One more observation is included and the new mean becomes 16. The 13th observation is
28
This problem involves calculating the sum of observations given the mean, and then using the change in mean after adding a new observation to find the value of that new observation.
The mean (or average) of a set of observations is calculated by dividing the sum of all observations by the total number of observations. The formula is:
$$\text{Mean} = \frac{\text{Sum of observations}}{\text{Number of observations}}$$
From this, we can also find the sum of observations if we know the mean and the number of observations:
$$\text{Sum of observations} = \text{Mean} \times \text{Number of observations}$$
We are given that the mean of 12 observations is 15. Using the formula for the sum of observations:
Number of observations initially = 12
Initial mean = 15
Initial sum of 12 observations = Initial mean $\times$ Number of observations
Initial sum = $15 \times 12$
Initial sum = 180
One more observation is included, making the total number of observations 13. The new mean is given as 16.
Number of observations finally = 12 + 1 = 13
New mean = 16
New sum of 13 observations = New mean $\times$ Number of observations
New sum = $16 \times 13$
New sum = 208
The new sum of 13 observations includes the sum of the original 12 observations plus the value of the 13th observation. Therefore, the value of the 13th observation is the difference between the new sum and the initial sum.
Value of 13th observation = New sum of 13 observations - Initial sum of 12 observations
Value of 13th observation = $208 - 180$
Value of 13th observation = 28
So, the 13th observation is 28.
| Step | Description | Calculation | Result |
|---|---|---|---|
| 1 | Initial Number of Observations | Given | 12 |
| 2 | Initial Mean | Given | 15 |
| 3 | Initial Sum of 12 Observations | Mean $\times$ Count | $15 \times 12 = 180$ |
| 4 | New Number of Observations | Initial Count + 1 | $12 + 1 = 13$ |
| 5 | New Mean | Given | 16 |
| 6 | New Sum of 13 Observations | New Mean $\times$ New Count | $16 \times 13 = 208$ |
| 7 | Value of 13th Observation | New Sum - Initial Sum | $208 - 180 = 28$ |
| Concept | Definition/Formula | Notes |
|---|---|---|
| Mean ($\bar{x}$) | $\bar{x} = \frac{\sum x}{n}$ (Sum of observations / Number of observations) | Measure of central tendency |
| Sum of Observations ($\sum x$) | $\sum x = \bar{x} \times n$ (Mean $\times$ Number of observations) | Useful for finding a missing observation |
| Effect of New Observation | New Sum = Old Sum + New Observation | Allows finding the new observation value |
The mean is a fundamental concept in statistics. It gives us a single value that represents the center of a dataset. While easy to calculate, it can be affected by extreme values (outliers).
This problem demonstrates a common application of the mean formula: using known means to calculate sums and infer the value of an unknown data point.
What is the mode of the given data?
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