Dependent variable: Varies in a way that depends on something else
Descriptive statistics: Data about a set of data, like measures of central tendency and variability
Independent variable: Varies in a way that isn't dependent on something else
Interval scale: A measurement where distance between the measurements matter
Mean: The average of a set of numbers
Median: The middle value of a set of numbers
Nominal scale: A label, not really a measurement (has no quantitative value)
Non-parametric data: Data from ordinal or nominal scales
Ordinal scale: A measurement in rank order, distances between the measurements don't matter
Parametric data: Distributions are normal, interval or ratio data
Ratio scale: A measurement where absolute zero matters
