To determine which prediction is most reasonable based on last month's car sales data, let's carefully analyze each prediction in comparison to the provided figures:
1. Prediction A: The dealership is likely to sell more white cars than any other color.
- White cars sold: 30
- Silver cars sold: 20
- Black cars sold: 32
- Blue cars sold: 8
- Red cars sold: 10
By comparing the numbers, we see that 32 black cars were sold, which is higher than the 30 white cars sold. Therefore, Prediction A is incorrect.
2. Prediction B: The dealership is likely to sell twice as many silver cars as red cars.
- Silver cars sold: 20
- Red cars sold: 10
Indeed, 20 silver cars were sold, which is exactly twice the number of red cars sold (10). Therefore, Prediction B is correct.
3. Prediction C: The dealership is likely to sell fewer red cars than any other color.
- Red cars sold: 10
- Other car colors sold:
- White: 30
- Silver: 20
- Black: 32
- Blue: 8
We observe that only 8 blue cars were sold, which is fewer than the 10 red cars. Thus, red cars are not the least sold color. Therefore, Prediction C is incorrect.
4. Prediction D: The dealership is likely to sell twice as many black cars as silver.
- Black cars sold: 32
- Silver cars sold: 20
Twice the number of silver cars (20) would be 40, but only 32 black cars were sold. Therefore, Prediction D is incorrect.
In summary:
- Prediction A is incorrect.
- Prediction B is correct.
- Prediction C is incorrect.
- Prediction D is incorrect.
Thus, Prediction B is the most reasonable prediction based on last month’s car sales data.
