This is the upper-case Greek letter sigma. A sigma tells us that we need to sum (i.e., add) a series of numbers.
\[\sum\]
For example, four children are comparing how many pieces of candy they have:
ID | Child | Pieces of Candy |
---|---|---|
1 | Marty | 9 |
2 | Harold | 8 |
3 | Eugenia | 10 |
4 | Kevi | 8 |
We could say that: \(x_{1}=9\), \(x_{2}=8\), \(x_{3}=10\), and \(x_{4}=8\).
If we wanted to know how many total pieces of candy the group of children had, we could add the four numbers. The notation for this is:
\[\sum x_{i}\]
So, for this example, \(\sum x_{i}=9+8+10+8=35\)
To conclude, combined, the four children have 35 pieces of candy.
In statistics, some equations include the sum of all of the squared values (i.e., square each item, then add). The notation is:
\[\sum x_{i}^{2}\]
or
\[\sum (x_{i}^{2})\]
Here, \(\sum x_{i}^{2}=9^{2}+8^{2}+10^{2}+8^{2}=81+64+100+64=309\).
Sometimes we want to square a series of numbers that have already been added. The notation for this is:
\[(\sum x_{i})^{2}\]
Here,\( (\sum x_{i})^{2}=(9+8+10+8)^{2}=35^{2}=1225\)
Note that \(\sum x_{i}^{2}\) and \((\sum x_{i})^{2}\) are different.
Summations
Here is a brief review of summations as they will be applied in STAT 200: