Which data type is best for recording counts of events, such as patient visits?

Which data type is best for recording counts of events, such as patient visits?

• A. Continuous data
• B. Nominal data
• C. Discrete data
• D. Ordinal data

Answer: (C)

Recording counts of events is best thought of as discrete data. This type captures values that are whole numbers and occur in separate, distinct steps (0, 1, 2, 3, ...), with no meaningful fractional values for the count itself. Counting patient visits fits this idea because you can have a whole number of visits in a given period, and you can’t have half a visit as a count. In contrast, continuous data can take any value within a range (like time, weight, or cost), nominal data are categories without order (like blood type), and ordinal data have an order but unequal intervals (like stages of illness). So for simply tallying how many visits occurred, discrete data is the appropriate type.

Recording counts of events is best thought of as discrete data. This type captures values that are whole numbers and occur in separate, distinct steps (0, 1, 2, 3, ...), with no meaningful fractional values for the count itself. Counting patient visits fits this idea because you can have a whole number of visits in a given period, and you can’t have half a visit as a count.

In contrast, continuous data can take any value within a range (like time, weight, or cost), nominal data are categories without order (like blood type), and ordinal data have an order but unequal intervals (like stages of illness). So for simply tallying how many visits occurred, discrete data is the appropriate type.