The example that represents a discrete data constraint with viable solutions is:
D. Number of tests passed
This is because the number of tests passed can only take on whole number values (e.g., 0, 1, 2, 3, etc.), making it a discrete variable.
In contrast:
- A. Average score on a test represents continuous data because it can take on any value within a range.
- B. Average weight of newborns is also continuous data, as weight can vary and take on fractional values.
- C. Distance between points is typically measured in continuous units (like meters), which also allows for an infinite number of decimal places.
Thus, D is the best choice for discrete data.