FOOD 201 Lecture Notes - Lecture 8: Stratified Sampling, Simple Random Sample, General Social Survey
21 Jan 2017
School
Department
Course
Professor
Document Summary
Missed the other couple notes get them online two types of sampling: random sampling. Systematic random sampling- take intervals, random start go between 1 and 10. Multi cage cluster sampling- sampling clusters within cluster: non random sampling. Snow ball- gaining trust of deviant people. Quota sampling- set quotas of certain groups. Purposeful- going to a pub to ask people from them. Probability- used when you need a descriptive or explanatory sample. Southeastern ontario has 10,000 households: 3000 urban, 7000 rural, you want to sample 1000 households, how can you calculate a stratified random sample. 10 to 1 so you take 10% of each group: demonstrate how to calculate a disproportional stratified random sample. Simplest way is just to split it in half: 2,000 young offenders on probation in ottawa. 320 non aboriginal: because 400 divided by 2000 gives you the percent of each you need so in this case 20% of each group.
