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Unit 1 Levels

New terms for Levels of Measurement

TermDefinition
Level of Measurement A classification of values assigned to variables, includes nominal, ordinal, interval, and ratio scales.
Nominal Scale Observations are classified into categories, Examples are gender, ethnicity, and race.
Ordinal Scale Observation are classified into ranked categories. Examples are mild, moderate, or severe reactions.
Interval Scale Numerical values with a fixed interval. Examples are temperature, and blood pressure.
Ratio Scale An interval level value with a true zero. Examples are weight and age.
Numerical/Quantitative Variable Data represent characteristics that can be analyzed mathematically; example: the ages of Herzing students.
Qualitative Variable Data are usually presented as words or letters; example: the ethnicity of Herzing students.
Discrete Variable Discrete variables are whole numbers which can be counted; example: a count of students in the freshman, sophomore, junior, or senior classes.
Continuous Variable Continuous variables do not have to be whole numbers, they can have fractions or decimals. Continuous variables are the result of measuring; example: the ages of students in the freshman class.
Frequency The number of responses in a variable that belong to each value
Relative Frequency The percent of responses of a single value in all the responses
Cumulative frequency The sum of the previous relative frequencies
Variable Variables represent something that can change from one outcome to another.
Value Data are the actual values of the variable. They may be numbers, or they may be words.
Created by: Dr.D
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