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Qualitative data refers to non-numeric information that describes characteristics or qualities. This type of data is often categorical, meaning it can be divided into groups based on attributes, such as colors, names, or types. In the context of the question, qualitative data would involve descriptions of the dogs, such as breed or temperament.

Quantitative data consists of numeric values that can be measured and analyzed statistically. This type of data can be further classified into discrete data, which can take specific values (like the number of dogs), and continuous data, which can take any value within a range (like height or weight). The ages of dogs, as mentioned in the question, are an example of quantitative data since they can be expressed in numbers.

Data classification is the process of categorizing data into distinct types based on their characteristics. Understanding whether data is qualitative or quantitative is essential for selecting appropriate statistical methods for analysis. In this case, recognizing that the ages of dogs are numerical allows for the application of various statistical techniques to analyze and interpret the data effectively.