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A qualitative variable is a type of variable that represents characteristics, attributes, or qualities that can be observed but not measured numerically. Qualitative variables describe qualities or categories, such as colors, types, or labels, and are typically analyzed using non-numerical methods.
Qualitative Variables: Sometimes referred to as “categorical” variables, these are variables that take on names or labels and can fit into categories. Examples include: Every single variable you will ever encounter in statistics can be classified as either quantitative or qualitative.
Qualitative variables, also known as categorical variables, describe qualities or characteristics that can’t be measured numerically. These variables answer questions about “what kind” or “which category.”
A qualitative variable, also called a categorical variable, is a variable that isn’t numerical. It describes data that fits into categories. For example: Eye colors (variables include: blue, green, brown, hazel). States (variables include: Florida, New Jersey, Washington).
Qualitative variables, also known as categorical variables, classify observations into defined, non-numerical groups (Babbie, Halley, & Zaino, 2007). Distinct from numerical variables that characterize data along a numeric continuum, qualitative variables capture important attributes in non-numeric ways.
A qualitative variable, also known as a categorical variable, is a type of variable that describes non-numeric characteristics or attributes. These variables can be divided into categories that do not have a numerical value but instead represent different qualities or characteristics.
Qualitative variables, also known as categorical variables, are types of variables that express a quality or characteristic rather than a numerical value. These variables can be divided into distinct categories that do not have a specific order or ranking.
A qualitative variable, also known as a categorical variable, is a type of variable that describes data in terms of qualities or characteristics rather than numerical values. It represents attributes, characteristics, or categories that cannot be measured on a numerical scale.
Qualitative variables are those that express a qualitative attribute such as hair color, eye color, religion, favorite movie, gender, and so on. The values of a qualitative variable do not imply a numerical ordering.
Qualitative vs Quantitative: A variable is qualitative if it represents non-numeric or categorical data like colors or satisfaction levels. It’s quantitative if it contains numeric data representing quantities, like height or number of students, allowing for more statistical operations.