SOCB05H3 Lecture Notes - Lecture 5: Sampling Frame, Statistical Significance, Walmart
8 Nov 2016
School
Department
Course
Professor
Document Summary
(cid:862)it (cid:449)ould (cid:271)e (cid:374)i(cid:272)e to just o(cid:271)ser(cid:448)e all of the people (cid:863) Sample: subset of larger population that you choose to include in your study. The population is your theoretically specified aggregation of the elements in the study: example: population = canadian university students. The population about which you want to generalize will affect your selection of a sampling procedure. Example: organization, institution or country: pieces of data. Example: customer transaction at wal-mart, university application) Units = people, cases or pieces of data. A sample consists of only those units from our population of interest that we actually study. Example: interested in frequent, male facebook users in the usa. Sample = proportion of the population from which the information is actually collected. Sample size the number of units/cases in your sample. Too few: no statistical significance or information: example: selected 5000 of all possible facebook users.
