Statistics 101

Dependent variable: a variable that represents the aspect of the world that the experimenter predicts will be affected by the independent variable.
Descriptive statistics: procedures used to summarize, organize, and simplify data.
Double blind experiment: an experiment in which neither the experimenter nor the subject knows whether the treatment is experimental or control.
Independent variable: a variable manipulated by the experimenter.
Inferential statistics: procedures that allow for generalizations about population parameters based on sample statistics.
Parameter: a numerical measure that describes a characteristic of a population.
Population: the entire collection of cases to which one attempts to generalize.
Sample: a subset of the population.
Statistic: a numerical measure that describes a characteristic of a sample.
Quasi-independent variable: a variable that resembles an independent variable but is not manipulated by the experimenter.

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