Types of Data or Data Classification

I. Qualitative Data
    A. Nominal, Attribute, or Categorical Data:
        Examples:
            1. Gender (female, male)
            2. Medication (aspirin, Tylenol, Advil, none)
            3. Religion (Buddhist, Islamic, Jewish, Christian, Hindu, none, etc.)
            4. Countries (Iraq, Iran, Israel, Zimbabwe, Canada, etc.)
Descriptive Statistics used: mode (most often observed data category), and percent.  Note: averages (mean) and standard error are not appropriate!

    B. Ordinal or Ranked Data: one value is greater or less than another, but the
         Magnitude of the difference is unknown.
        Examples:
            1. Muscle response (none, partial, complete)
            2. Tree vigor (Healthy, sick, dead)
            3. Income (<$9,999 $10,000-$19,999, $20,000-$49,999, >$50,000)
Descriptive Statistics used: mode and percent.  Note: averages (mean) and standard error are not appropriate!

II. Quantitative or Interval Data (measurements)
    A. Discrete or Meristic Data (whole number counts)
        Examples:
            1. Number of petals on flower
            2. Number of pets at home
            3. Number of children in family
Descriptive Statistics used: mean, mode, median, percent.

    B. Continuous measurements (rational numbers, limited by the accuracy of your measurements)
    Examples:
            1. Height
            2. Weight
            3. Light-years
            4. Blood pressure

You should be able to recognize what Data Types are used in these graphs .