Example
Carrying out a telephone poll, we have asked
The poll was answered by
To begin to solve the problem, what we have done is to put the information in a table:
Yes | No | |
Men | 324 | 156 |
Women | 351 | 169 |
This is a limited version of a contingency table. We can do a complete contingency table if we write on every side of the table the sums of every row and every column:
Yes | No | Total (M/W) | |
Men | 324 | 156 | 480 |
Women | 351 | 169 | 520 |
Total (Sí/No) | 675 | 325 | 1000 |
Namely on the right,
On the other hand, in the lower row,
These are the entire partial ones: in our case, on the right we have the total number of men who have answered
Finally, in the lower right-hand corner, which remains free, normally we put the sum of the entire partial ones, which corresponds, in our case, to the whole number of people who have answered the poll.
If we do things properly, it does not matter whether we add the total partials of the right or the ones in the lower row. In our case,
The table turns out to be very useful to deduce information that we lack. Let's see an example:
Example
In a class of
What is the probability of being a girl, and right-handed?
Note: suppose, to simplify, that one can be only either right-handed or left-handed.
First, we introduce the information of the statement in the contingency table.
Right-handed | Left-handed | Total | |
Boys | 4 | ||
Girls | 20 | ||
Total | 26 | 35 |
Since there are a total of
Right-handed | Left-handed | Total | |
Boys | 11 | 4 | 15 |
Girls | 20 | ||
Total | 26 | 35 |
Since there are
If we want, we can complete the table.
Right-handed | Left-handed | Total | |
Boys | 11 | 4 | 15 |
Girls | 15 | 5 | 20 |
Total | 26 | 9 | 35 |