GGR270H1 Lecture Notes - Lecture 6: Le Devoir, Standard Error, Sampling Distribution
Document Summary
Simple random (most basic, use some random generation method i. e. a random number table. Systematic sampling (take a system approach and rather than randomly select people through random number tables, a system says every 10th person we will choose, i. e. a phonebook) Stratified (organize sample based on organization of the population, the organization of the sample represents the organization of the population) Everything has an equal chance of being chosen. Can also have spatial sampling designs (looking at where things happen- i. e. the concentration of lead on a site, involves applying some sort of physical grid) Stratified random (you have your whole map which is then divided into squares, and then randomly select a set of points form those squares ensures coverage of the map i. e. the deposits of lead) Transect (randomly select lines along a map, and you sample along the lines) Sample statistics will change or vary for each random sample selected.