Sociology 2205A/B Lecture Notes - Lecture 10: Simple Random Sample, Central Limit Theorem, Statistic

• School: Western University
• Department: Sociology
• Course: Sociology 2205A/B
• Professor: Stephen Lin

Document Summary

What to know for exam: population, when we want to know about a population, we can choose a sample. By the end of chapter 5: you will understand, the media of simple random samples, the role of sampling distributions in inference, what the central limit theorem tells us about sampling distributions. Quick review of terminology: statistics: characteristics of samples, we use latin alphabet notation or s, parameters: characteristics of populations, we use greek notation or. Populations and samples: we do research to understand facts about populations, but we can"t observe whole populations, we select samples, samples must be representative of populations, that means sample has similar characteristics as population. Inference: process where sample statistics are used to estimate population parameters. Professor stephen lin: a sample of 134 adult residents of london on was asked whether they saw a doctor in the past year.