To find the deviation of each data point from the mean, you subtract the mean from each data point. The formula for deviation is:
\[ \text{Deviation} = \text{Data Point} - \text{Mean} \]
Using the mean of 9.25, we calculate the deviation for each data point:
-
Data Point 7:
\[ \text{Deviation} = 7 - 9.25 = -2.25 \] -
Data Point 9:
\[ \text{Deviation} = 9 - 9.25 = -0.25 \] -
Data Point 9:
\[ \text{Deviation} = 9 - 9.25 = -0.25 \] -
Data Point 12:
\[ \text{Deviation} = 12 - 9.25 = 2.75 \]
Now, let's fill in the table for the deviations:
| Data Point | Deviation | |------------|------------| | 7 | -2.25 | | 9 | -0.25 | | 9 | -0.25 | | 12 | 2.75 |
So, the deviations of each data point from the mean are as shown in the table.