To solve a probability question like this, we typically need two key pieces of information:
1. The overall probability of a person being between 25 and 34 years of age.
2. The conditional probability that a person has completed 1 to 3 years of college given they are between 25 and 34 years of age.
Assuming this data comes from a specific population, we would also need the data to be relevant to that population. In a practical situation, these probabilities would be provided by a statistical study or a dataset. However, since no concrete data is provided, I'll illustrate how this problem would generally be solved with hypothetical values.
Let's say, hypothetically:
- The probability of a person being between 25 and 34 years of age (P(Age 25-34)) is 0.20 (or 20%).
- The probability that a person has completed 1 to 3 years of college given they are between 25 and 34 years of age (P(College 1-3 years | Age 25-34)) is 0.15 (or 15%).
With those hypothetical probabilities, the overall probability we're looking for can be calculated by multiplying these two probabilities together:
P(Age 25-34 and College 1-3 years) = P(Age 25-34) * P(College 1-3 years | Age 25-34)
Now plugging in our hypothetical values:
P(Age 25-34 and College 1-3 years) = 0.20 * 0.15
P(Age 25-34 and College 1-3 years) = 0.03
This means, under our hypothetical scenario, the overall probability that a person is between 25 and 34 years of age and they have completed 1 to 3 years of college would be 3%.
Remember that the actual probability would depend on accurate statistical data for the specific population being studied.
