Averages
5 Problems • 3 sub-topics
Adalynn Le • 5/25/2026
Introduction
When we think of averages, we tend to think of the typical \(\frac{S_{n}}{n}\) arithmetic mean, but there is quite a bit more to it and its applications. Different types of means are approrpiate and important in different situations, and they are calculated in different ways. By studying specific averages and means, we end up with different constraints, nescessary information, etc.
Arithmetic Mean
The arithmetic mean of a set of numbers is the sum of all numbers in the set divided by the number of values in the set. Algebraicly, it can be writte as \(\frac{S_{n}}{n}\). This is a valuable metric for finding the dead center of a set of numbers. It is a key metric in statistics, although for datasets with outliers it can be noticeably skewed.
Chances are, arithmetic mean is what you think of when you first hear of averages. AMC 10 knows this, so when they say average, it will always refer to arithmetic mean, unless otherwise mentioned. The reason that it is called arithmetic mean is because the relationship is completely linear. The alternative, geometric mean, uses powers and inverse reciprocal relationships. It is also conveniently used in geometric shapes whereas the arithmetic mean is exclusively for direct arithmetic relationshpis and statistics
Notice that in an arithmetic mean, you don't need to know each individual value, you just need the sum and number of values. If you have to add values, you just add to the sum and number, not having to recalculate the whole thing. This is a key part of the AMC 10 and their traps and logic.
Arithmetic Mean Calculator
\(a=\)
\(b=\)
Geometric Mean
The geometric mean of a number, \(x\), satisfies \(\frac{x}{a}=\frac{b}{x}\)and visa versa. If you solve this for \(x\), you would get \(x=\sqrt{ab}\). My interpretation is that this is called a geometric mean because it has to do with reciprocals and exponents, characteristic of geometric series, although there are also geometric properties. By the AM-GM inequality, we know that the geometirc mean will always be less than or equal to the arithmetic mean. The arithmetic mean can only be found for two numbers, not a whole set, and rather than being the central focal point, has purposes for trigonometry and triangles
The geometric mean of two numbers has several geometric features as well, particularly in triangles. Consider a right triangle with an altitude drawn from the right angle to the hypotenuse. It splits the hypotenuse into two parts. The geometric means of the lengths of the two sections is equal to the length of the hypotenuse. Furthermore, if you find the geometric mean of the whole hypotenuse and one section of the hypotenuse, it will be equal to the leg adjacnet to thta section. Both of these can be proved by using the fact that the altitude splits the triangle into similar triangles.
Average Speed
One final aspect that I would like to highlight about averages is the importance of weighting. For instance, take speed. Average speed over time is weighted by the amount of time spent at each speed, so the average of two numbers is different than the average of two speeds of those magnitudes, assuming the same distance. In arithmetic mean, you would multiply certain values by certain things to represent this. Imagine the same value coming up multiple times in a data set. In the case of average speed, it's like each second spent at a speed is an entry in the data set, so it gets recorded again, which we simplify as multiplication. A more intuitive example is shown below.
Average Speed
Assume somebody covers the same distance twice at two different speeds, going one way and then going back. What is their average speed in the time it takes them to go back and forth (assume the distance is 10 miles)
Speed: 55mph
Time: 5.5 hrs
Speed: 55mph
Time 5.5 hrs
Conclusion
There are different types of averages and means that define different aspects about two numbers. These can be used in different situations, whether it be for geometric figures, statistic, or speed. The way in which it is calculated matters, not just in methodology but also for finding things like the weight and importance of one value and element in the data set. Since the arithmetic mean is only reliant on the sum, there is no need to find individual values in the set.
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