Match the data type or level to the description or example: Descriptive text such as free-text clinical notes; Data that are managed by being put into categories or labeled 'bins';... Match the data type or level to the description or example: Descriptive text such as free-text clinical notes; Data that are managed by being put into categories or labeled 'bins'; Data in which the categories have intrinsic order, such as None, A little, A lot; Data that are numeric and measured on a scale that has evenly spaced intervals.
Understand the Problem
The question is asking to match various data types or levels to their corresponding descriptions or examples. These data types include descriptive text, categorical data, ordinal data, and interval data.
Answer
Free-text clinical notes: qualitative, 'bins': nominal, ordered categories: ordinal, numeric scale: interval.
Descriptive text such as free-text clinical notes is an example of qualitative data. Data categorized or labeled into 'bins' are nominal data. Data with categories that have intrinsic order, such as None, A little, A lot, are ordinal data. Numeric data measured on a scale with evenly spaced intervals are interval data.
Answer for screen readers
Descriptive text such as free-text clinical notes is an example of qualitative data. Data categorized or labeled into 'bins' are nominal data. Data with categories that have intrinsic order, such as None, A little, A lot, are ordinal data. Numeric data measured on a scale with evenly spaced intervals are interval data.
More Information
These data types are part of the categorical and numerical data classification systems. Qualitative data includes free-text, nominal data is unordered categorical, ordinal data has a natural order, and interval data involves scales without a true zero.
Tips
Confusing ordinal and interval data is common; remember that interval data requires equally spaced measurements.
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