PSYC 4131 Lecture Notes - Lecture 1: Data Transformation, Statistical Inference, Squared Deviations From The Mean
Document Summary
Case- unit of observation (city, person, etc. ) Variables: quantitative- can be given a number value. Parametric stats are stats that the dv is quantitative. Reflects an amount: qualitative variable the needs to be defined (gender, race, etc. ) Reflects a category, aka categorical variable: discrete- Gender or # of siblings often strictly is categorical. A or b, 1 or 2: continuous- a number that can be broken down into decimals, Qualitative, no gaps between numbers (height, can be broken down forever. Qualitative variables technically. : rules of measurement (application of numbers, nominal naming something (way to remember) categorical. Labels of categories (psy. d students 1; masters 2) Considered discrete because categorical: ordinal- has a logical order, but is still a category (age groups) Private (1), sergeant(2), colonel (3), general (4) No absolute zero. (temp, if disregarding kelvin, o(cid:396) (cid:455)ea(cid:396)s, 0 bce is(cid:374)"t a(cid:272)tuall(cid:455) 0(cid:895: ratio- amount with a true zero, equal intervals (income, height, weight. )
