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The study of how to collect, organize, analyze and interpret numerical info. from data.
People or objects included in a study.
A characteristic of the individual to be measure or observed.
Posses a value or numerical measurement for which operations such as addition or averaging make sense, such as height, weight, age, income...
Posses a non-numerical value such as gender, nationality, color, name...
Qualitative (Categorical) Variable
the set of all measurements or observations under consideration.
A (representative) subset of the population
The lowest level of data measurement - Ex. - Name; color; social security number; telephone number; political party.
The second lowest level of data measurement - Ex. - class (Freshmen, sophomore...); military rank, conditions (poor, good, excellent.)...
The second highest level of data measurement - Ex. - temperature (oC or oF); calendar date; clock time.
The highest level of data measurement - Ex. - Kelvin temperature; height, weight; income time; - Starts at 0 - nothing below it.
Involves methods of orgainizing, picturing and summarizing info from samples or populations.
Involves methods of using info from a sample to draw conclusions regarding the population
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