PSYCH 240 Lecture Notes - Lecture 1: Squared Deviations From The Mean, Descriptive Statistics, Central Tendency
17 Feb 2015
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10:41 pm: statistics, mathematical tools for the organization, analysis, and interpretation of data, descriptive statistics summarize and describe a dataset c. Height: distribution- collection of scores across a number of data collection units, types of variables, you have to know what kind of variable you"re working with, numeric/quantitative- values of the variables are numbers i. Response times, packs of cigarettes smoked: nominal/categorical- values of variable are verbal labels i. Line up type, martial status: equal interval- equal-sized changes in the variable represent equal-sized changes in what is being measured i. Examples: temp, weight: ordinal- valuese of variable only indicate the rank of the score i. ii. Number lines should be considered ordinal but some are not watch out for this: continuous- variable for which there are no gaps in the values that the variable can take. There are an infinite number of possible values between any two scores i.
