STAB22H3 Study Guide - Midterm Guide: Breakfast Cereal, Quantile, Linear Map
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STAB22H3 Full Course Notes
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Document Summary
Categorical variables: data that can be classified into groups. Ex: student #123 can be put into category a . Identifier - variable holds unique value for identification. Ordinal - categorical values that possess inherent order. Ex: levels of degree - bachelors, masters, phd. Tables - count frequency, relative frequency, contingency tables. Charts - count and frequency bar, pie, side-by-side charts. Area principle - (statistical display) the magnitude of each data value should be represented by the same amount of area. Sum principle - (statistical display) the sum of counts/frequencies must equal to 100% Description and display of the relationship of two categorical variables: Marginal distribution - distribution of each variable, alone (total columns/rows) Contingency tables - displays percentages of individuals falling into named categories of two or more variables, reveals possible patterns between variables. Joint distribution - distribution of both variables, expressed as percentage. Conditional distribution - distribution of a restricted level within variable.
