SOAN 2120 Lecture Notes - Simple Random Sample, Nonprobability Sampling, Central Limit Theorem

• School: University of Guelph
• Department: Sociology and Anthropology
• Course: SOAN 2120
• Professor: David Walters

Document Summary

Handing in the final assignment the late penalty is 5% per day. After 5 pm on thursday, it is late. After the deadline, submit the assignment under the door (614 mack) turnitin. com: id: 5632747, password: soan2120. Tomorrow afternoon (lab): 20 mack 1 pm 4pm. Chapter 5 [ this shit is important: nonprobability sampling. Sample size in advance they do not know the sample size in advance. Random they do not know if it is random. Knowledge of population they know very little. Types of nonprobability samples (types, page 109: probability sampling [exact opposite of nonprobability] Sample size in advance must have this in advance. People who became parents i 2012: populations are abstract. Generate list of what the population looks like. The list is the sampling frame (telephone directories, tax records, driver"s license records, etc. ) Sample element: unit of analysis within the population. Sample frame should be a good representation of the population. Sampling technique in order to collect sample.