Final answer:
The average arithmetic mean of 5 different values can be affected by outliers or extreme data points.
Step-by-step explanation:
The average arithmetic mean of 5 different values can be affected by outliers or extreme data points. An outlier is a data point that is significantly different from the other data points in the set. When calculating the mean, the value of the outlier will have a large impact on the result.
For example, let's consider the following set of values: 3, 4, 5, 100, and 7. Without the outlier, the mean would be 4.8. However, when the outlier is included, the mean becomes 23.8.
Therefore, it is important to be cautious when interpreting the mean in the presence of outliers, as it may not be a representative measure of the central tendency of the data.