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We are asked to find the probability that a randomly chosen vehicle will be non-certified with fewer than 15,000 miles based on the data provided in the table.

### Step 1: Identify the relevant numbers
From the table:
- The number of non-certified vehicles with fewer than 15,000 miles = 75.
- The total number of vehicles in the table = (89 + 75 + 121 + 110) = 395.

### Step 2: Calculate the probability
The probability is given by the ratio of non-certified vehicles with fewer than 15,000 miles to the total number of vehicles.

\[
\text{Probability} = \frac{75}{395} \approx 0.1899
\]

Rounding this value, we get approximately 0.19.

### Final Answer:
The correct answer is **A) 0.19**.

Would you like further details or have any questions? Here are some related questions:

1. How do you calculate the probability of a specific event from a data table?
2. What is the total number of non-certified vehicles in the table?
3. How would the probability change if more vehicles were added to the inventory?
4. Can you explain the difference between factory certified and non-certified in terms of probability?
5. How is rounding applied in probability calculations to match answer choices?

**Tip:** Always sum up all relevant data points in the problem to ensure you are working with the correct total.

If a vehicle is chosen at random from the inventory given in the table, which of the following is closest to the probability that the vehicle will be non-certified with fewer than 15,000 miles?

Learn how to calculate the probability of choosing a non-certified vehicle with fewer than 15,000 miles based on the given inventory. This problem involves core probability concepts and the use of ratios. Suitable for high school students in Grades 9-11.

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