Given the provided probabilities, let's analyze the scenarios step-by-step:
### Comparing a smoker and a supermarket employee:
1. Probability of a supermarket employee visiting a doctor: 23%
2. Probability of a smoker visiting a doctor: 71%
Since 71% (smoker) is greater than 23% (supermarket employee), a smoker is more likely to need health insurance than a supermarket employee.
### Comparing an 18-year-old male college student and a 72-year-old retired female:
3. Probability of an 18-year-old male college student visiting a doctor: 18%
4. Probability of a 72-year-old retired female visiting a doctor: 52%
Since 18% (18-year-old male college student) is less than 52% (72-year-old retired female), an 18-year-old male college student is less likely to need health insurance than a 72-year-old retired female.
### Comparing an 18-year-old male college student and a nonsmoker:
5. Probability of an 18-year-old male college student visiting a doctor: 18%
6. Probability of a nonsmoker visiting a doctor: 43%
Since 18% (18-year-old male college student) is less than 43% (nonsmoker), an 18-year-old male college student is less likely to need health insurance than a nonsmoker.
### Worked-out Answer:
- A commercial fisherman is not relevant to the blanks.
- A person who smokes is more likely to need health insurance than a supermarket employee.
- An 18-year-old male college student is less likely to need health insurance than a nonsmoker.
- An 18-year-old male college student is less likely to need health insurance than a 72-year-old retired female.
Thus, we fill in the blanks as follows:
A person who smokes is more likely to need health insurance than a supermarket employee.
An 18-year-old male college student is less likely to need health insurance than a nonsmoker.
An 18-year-old male college student is less likely to need health insurance than a 72-year-old retired female.
