Case | Hospitalized? | Gender | Age | Insured | Count of Patients |
1 | Yes | Male | >65 | Yes | 10 |
2 | Yes | Male | <65 | Yes | 20 |
3 | Yes | Female | >65 | Yes | 30 |
4 | Yes | Female | <65 | No | 40 |
5 | No | Male | >65 | No | 20 |
6 | No | Male | <65 | No | 40 |
7 | No | Female | >65 | No | 60 |
8 | No | Female | <65 | No | 80 |
Using the above data answer the following questions:
Probability of hospitalization given that you are male
= number of hospitalized males) / number of males
= 2 / 4
= 0.5
Contingency Table
Age/Gender | Male | Female |
<65 | 2 | 2 |
>65 | 2 | 2 |
Conditional probability of being female given that one is more than 65 years old
= n(females more than 65 years old) / n(people more than 65 years old)
= 2 / 4
= 0.5
Conditional probability of being more than 65 years old given that you are female
= n(females more than 65 years old) / n(females)
= 2 / 4
= 0.5
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