EXAMPLE 4.20 College Students
Here is the distribution of U.S. college students classified by age and full-time or part-time status:
Age (years) | Full-time | Part-time |
15 to 19 | 0.21 | 0.02 |
20 to 24 | 0.32 | 0.07 |
25 to 39 | 0.10 | 0.10 |
30 and over | 0.05 | 0.13 |
Let's compute the probability that a student is aged 15 to 19, given that the student is full-time. We know that the probability that a student is full-time and aged 15 to 19 is 0.21 from the table of probabilities. But what we want here is a conditional probability, given that a student is full-time. Rather than asking about age among all students, we restrict our attention to the subpopulation of students who are full-time. Let
Our formula is
We read from the table as mentioned previously. What about ? This is the probability that a student is full-time. Notice that there are four groups of students in our table that fit this description. To find the probability needed, we add the entries:
200
We are now ready to complete the calculation of the conditional probability:
The probability that a student is 15 to 19 years of age, given that the student is fulltime, is 0.31.