Definition:Measure of Central Tendency
Definition
A measure of central tendency is a central or typical value for a probability distribution or set of sample data.
The most important examples are often introduced at elementary school level conveniently alliterated as mean, mode and median:
Mean
Let $x_1, x_2, \ldots, x_n \in \R$ be real numbers.
The arithmetic mean of $x_1, x_2, \ldots, x_n$ is defined as:
\(\ds A_n\) | \(:=\) | \(\ds \dfrac 1 n \sum_{k \mathop = 1}^n x_k\) | ||||||||||||
\(\ds \) | \(=\) | \(\ds \dfrac {x_1 + x_2 + \cdots + x_n} n\) |
That is, to find out the arithmetic mean of a set of numbers, add them all up and divide by how many there are.
Mode
Let $S$ be a set of quantitative data.
The mode of $S$ is the element of $S$ which occurs most often in $S$.
If there is more than one such element of $S$ which occurs equally most often, it is then understood that each of these is a mode.
If there is no element of $S$ which occurs more often (in the extreme case, all elements are equal) then $S$ has no mode.
Median
Let $S$ be a set of ordinal data.
Let $S$ be arranged in order of size.
The median is the element of $S$ that is in the middle of that ordered set.
Suppose there are an odd number of elements of $S$ such that $S$ has cardinality $2 n - 1$.
The median of $S$ in that case is the $n$th element of $S$.
Suppose there are an even number of elements of $S$ such that $S$ has cardinality $2 n$.
Then the middle of $S$ is not well-defined, and so the median of $S$ in that case is the arithmetic mean of the $n$th and $n + 1$th elements of $S$.
Also known as
Some sources refer to central tendency as centrality.
The term location can also be seen.
Also see
- Results about measures of central tendency can be found here.
Sources
- 1998: David Nelson: The Penguin Dictionary of Mathematics (2nd ed.) ... (previous) ... (next): centrality (central tendency)
- 2008: David Nelson: The Penguin Dictionary of Mathematics (4th ed.) ... (previous) ... (next): centrality (central tendency)
- For a video presentation of the contents of this page, visit the Khan Academy.