The example that represents a discrete data constraint with viable solutions is:
a. number of tests passed
This is because the number of tests passed is a countable quantity that can only take on whole number values (0, 1, 2, etc.), which makes it a discrete data point.
The other options involve continuous data or averaged values, which do not fit within the scope of discrete data:
- b. Average score on a test (continuous, can take any value)
- c. Distance between points (continuous, can take any value)
- d. Average weight of all the newborns in a hospital ward (continuous, can take any value)
1 answer