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Chapter 2 - Data

Understanding the context of data is crucial before analysis. Explore data tables, cases, populations, and samples. Learn about variables - categorical and quantitative - to gather insights effectively.

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Chapter 2 - Data

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  1. Chapter 2 - Data * Context of the data is absolutely essential before we do anything! • The W’s (and H): Who, What, When, Where, Why, How • “Who” does not always imply people * Data tables help organize the data * Each row of a data table is called an individual case

  2. * Individuals = the things that we want to collect data from. People, animals, cars, etc. * Cases are usually from a SAMPLE of a larger POPULATION (hopefully representative) * POPULATION = ALL individuals that we want to conclude about * SAMPLE = small group of the population that we actually collect data from. Use this data to conclude about the population

  3. Read to middle of p. 11 • Variables are the “WHAT” of the data- things that were observed or collected. • Two types of variables: • Categorical: variable that names categories (words or numeric) • Quantitative: variable with numeric values, makes sense to take an average (must have units) - Examples: Colleges/Universities Come up with a few categorical and quantitative variables about colleges that you would be interested in recording if you were looking to apply to that college.

  4. Read top of page 13 • Complete “Just checking”

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