What is the difference between statistics and data? Sometimes the two words are used interchangeably when they are two different things.
Qualitative Data: Non-numerical data. Examples: eye color, socioeconomic status
Quantitative Data: Numerical data. Examples: height, shoe size
Continuous Data: Continuous data can have an infinite number of values and therefore 0 is not meaningful. Examples: weight, height
Discrete Data: Discrete data has finite values and a meaningful 0. Example: number of people living in a household
Time-Series: Studying the same variable over time; the instrument is the same but different people will be used.
Longitudinal: Typically are surveys that are taken over time with the same people, but not always the same survey or instrument.