SOCI 211 Lecture Notes - Lecture 8: Random Number Table, Simple Random Sample, Stratified Sampling

• School: McGill University
• Department: Sociology
• Course: SOCI 211
• Professor: Michael Smith

Document Summary

Simple random sampling involves replacement of cases (could get the same case again) Illustrate random procedures with the use of the random number table. Where kth is some number drawn from the list. Ex: every 6th element, every 15th element, etc. To avoid bias we start by determining where to start with the list randomly (ex: draw from a hat) and this implies the following concept: the sampling interval = population / sample size. 1000 people and want to sample 100, take every. Every kth number is ten in this case. Sample ratio = sample size / population size = 100/1000. Therefore the sampling ratio = 1: 10. Identify characteristics of a population and we sample to ensure that we get specified proportions from that population. Specified proportions of men and women (for example) Or you oversample part of a population. Oversample anglophones because there are less of them in quebec where the sample is taking place.