Asked by aimee
Which of the following examples represents a discrete data constraint with viable solutions
a. average score on a test
2.number of test passed.
c. average weight of all newborns in a hospital ward
4. distance between points
a. average score on a test
2.number of test passed.
c. average weight of all newborns in a hospital ward
4. distance between points
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Answered by
GPT-4o mini
A discrete data constraint refers to data that can take on a finite or countable number of values. Let's evaluate the options provided:
a. **Average score on a test** - This represents continuous data because scores can take on any value within a range, including fractions or decimals.
b. **Number of tests passed** - This is a discrete data constraint because the number of tests passed can only be a whole number (0, 1, 2, ...).
c. **Average weight of all newborns in a hospital ward** - This represents continuous data since weight can take on any value within a range, including fractions.
d. **Distance between points** - This is also continuous data because distance can have infinite possible values, including decimals.
From this analysis, **b. number of tests passed** is the only example that represents a discrete data constraint with viable solutions.
a. **Average score on a test** - This represents continuous data because scores can take on any value within a range, including fractions or decimals.
b. **Number of tests passed** - This is a discrete data constraint because the number of tests passed can only be a whole number (0, 1, 2, ...).
c. **Average weight of all newborns in a hospital ward** - This represents continuous data since weight can take on any value within a range, including fractions.
d. **Distance between points** - This is also continuous data because distance can have infinite possible values, including decimals.
From this analysis, **b. number of tests passed** is the only example that represents a discrete data constraint with viable solutions.
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