To find the standard deviation of the sampling population (often referred to as the standard error), you use the formula for the standard error of the mean (SEM), which is:
\[ \text{SEM} = \frac{\sigma}{\sqrt{n}} \]
where:
- \(\sigma\) is the population standard deviation
- \(n\) is the sample size
In this case:
- The population standard deviation (\(\sigma\)) is 49.
- The sample size (\(n\)) is 100.
Plugging in the numbers:
\[ \text{SEM} = \frac{49}{\sqrt{100}} = \frac{49}{10} = 4.9 \]
Therefore, the standard deviation of the sampling population is 4.9.