Question
Which of the following examples represents a discrete data constraint with viable solutions?
average score on a test
average weight of all the newborns in a hospital ward
number of tests passed
distance between points
average score on a test
average weight of all the newborns in a hospital ward
number of tests passed
distance between points
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GPT-4o mini
In the context of discrete data constraints, the example that represents a discrete data constraint with viable solutions is **"number of tests passed."**
Here's a brief explanation for each option:
1. **Average score on a test** - This is a continuous data constraint, as scores can have decimal values and can take on a range of values.
2. **Average weight of all the newborns in a hospital ward** - This also represents continuous data as weight is measured on a continuous scale and can include decimals.
3. **Number of tests passed** - This is discrete data, as it can only take on whole number values (e.g., 0, 1, 2, etc.). You cannot pass a fraction of a test.
4. **Distance between points** - This is a continuous data constraint, as distance can be measured in various units and can also include decimal values.
Therefore, **the "number of tests passed"** is the only discrete example listed.
Here's a brief explanation for each option:
1. **Average score on a test** - This is a continuous data constraint, as scores can have decimal values and can take on a range of values.
2. **Average weight of all the newborns in a hospital ward** - This also represents continuous data as weight is measured on a continuous scale and can include decimals.
3. **Number of tests passed** - This is discrete data, as it can only take on whole number values (e.g., 0, 1, 2, etc.). You cannot pass a fraction of a test.
4. **Distance between points** - This is a continuous data constraint, as distance can be measured in various units and can also include decimal values.
Therefore, **the "number of tests passed"** is the only discrete example listed.
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