The sum of a set of measurements divided by the number of measurements in the set is the mean or average of the set. Mathematically, it is expressed as:

$\text{Mean} = \frac{\sum_{i=1}^{n} x_i}{n}$

Where:

• $x_i$ are the individual measurements in the set,
• $n$ is the total number of measurements,
• $\sum_{i=1}^{n} x_i$ represents the sum of all the measurements.

Would you like more details or have any specific questions about this?

Here are 5 related questions to expand on this topic:

1. How is the median different from the mean?
2. What is the relationship between the mean and variance?
3. How do outliers affect the mean of a dataset?
4. Can you explain the difference between the arithmetic mean and geometric mean?
5. What is the weighted mean, and how is it calculated?

Tip: The mean is highly sensitive to extreme values (outliers), which can significantly skew the result.