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To solve this problem, we need to find out how many applicants in a group of 1,000 would be expected to get driver's licenses, based on the given probabilities.

### Step 1: Calculate the number of applicants who pass the written test.
- **Given:** 80% of the applicants pass the written test.
- **Calculation:** 
  \[
  \text{Number of applicants who pass the written test} = 0.80 \times 1000 = 800
  \]

### Step 2: Calculate the number of applicants who pass the driving test.
- **Given:** 60% of those who passed the written test pass the driving test.
- **Calculation:** 
  \[
  \text{Number of applicants who pass the driving test} = 0.60 \times 800 = 480
  \]

### Final Answer:
Thus, **480** applicants out of 1,000 would be expected to get driver's licenses.

The correct answer is **B. 480**.

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### Related Questions:
1. If the percentage of applicants passing the driving test increased to 70%, how many would get licenses?
2. What if only 50% of those who passed the written test passed the driving test? How many licenses would be issued then?
3. How would the expected number change if only 70% of applicants passed the written test initially?
4. If the group size increased to 1,500 applicants, how many would you expect to get licenses under the same conditions?
5. How does the probability of passing both tests compare to the probability of passing just one?

### Tip:
When solving problems involving percentages, always ensure you're applying the percentage to the correct base value (e.g., total applicants vs. those who passed a previous step).

To get a driver's license, an applicant must pass a written test and a driving test. Past records show that 80% of the applicants pass the written test and 60% of those who have passed the written test pass the driving test. Based on these figures, how many applicants in a random group of 1,000 applicants would you expect to get driver's licenses?

Learn how to calculate the number of applicants who will get driver's licenses in a group of 1000. This problem focuses on applying percentages to a real-world context involving two stages: written and driving tests. Ideal for students in Grades 5-7.

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