1.1 Data Concepts PDF
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This document provides an overview of data concepts, differentiating between numerical (quantitative) and categorical (qualitative) data. It further breaks down these categories into continuous and discrete data, and ordinal and nominal data types. This is likely a presentation or lecture slide deck.
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1.1 Data Concepts Numerical (Quantitative) Data Data in the form of any number Numerical (Quantitative) Data Data in the form of any number Continuous data Data that can have any value in a range, including decimal numbers. Continuous data are usually measured ex height, mass Numeric...
1.1 Data Concepts Numerical (Quantitative) Data Data in the form of any number Numerical (Quantitative) Data Data in the form of any number Continuous data Data that can have any value in a range, including decimal numbers. Continuous data are usually measured ex height, mass Numerical (Quantitative) Data Data in the form of any number Continuous data Data that can have any value in a range, including decimal numbers. Continuous data are usually measured ex height, mass Discrete data Data that only have specific values, usually whole numbers. ex. Number of cats in a litter Categorical (Qualitative) Data Data that can be sorted into distinct groups or categories. Categorical (Qualitative) Data Data that can be sorted into distinct groups or categories. Ordinal data Qualitative data that can be ranked. Ex. limited, some, considerable, thorough Categorical (Qualitative) Data Data that can be sorted into distinct groups or categories. Ordinal data Qualitative data that can be ranked. Ex. limited, some, considerable, thorough Nominal Data Qualitative data that cannot be ranked. Ex. blue eyes, green eyes, hazel eyes, brown eyes
