To calculate the sample mean, you sum up all the values in the sample and divide by the number of values in the sample. The formula for the sample mean $\bar{x}$ is:

$\bar{x} = \frac{\sum_{i=1}^n x_i}{n}$

where:

• $x_i$ represents each individual value in the sample,
• $n$ is the total number of values in the sample.

If you have a specific set of numbers, please share them, and I can calculate the sample mean for you.

Would you like to see more details on this calculation, or do you have any questions?

Here are five related questions to consider:

1. What is the difference between a sample mean and a population mean?
2. How does the sample mean relate to the sample median?
3. Why is the sample mean a reliable estimator for the population mean?
4. How does the sample mean differ if outliers are present?
5. What are some applications of the sample mean in statistics?

Tip: Remember, the sample mean is sensitive to outliers; extreme values can significantly influence it.