To determine the probability $P(\text{car})$, we add the number of students who have access to a car (regardless of whether they have a license or not) and divide by the total number of students.

From the diagram:

• Students with a license and a car: $215$
• Students with no license and a car: $85$
• Total students = $575 + 425 = 1000$

Total number of students with access to a car:

$215 + 85 = 300$

Probability a student has access to a car:

$P(\text{car}) = \frac{300}{1000} = 0.3$

The answer is $\frac{300}{1000}$ or $0.3$.

Would you like me to explain further or break down any part of this?

Here are 5 related questions to explore further:

1. What is the probability a student does not have access to a car?
2. What is the probability a student has a license but no car?
3. What is the probability a student has no license and no car?
4. What is the total number of students without a car?
5. How do conditional probabilities work for this dataset (e.g., $P(\text{car | license})$)?

Tip: When calculating probabilities, ensure the total population aligns with the sum of all categories!