STAT 101 Lecture Notes - Lecture 5: Exploratory Data Analysis, Survey Sampling, Statistical Inference

• School: Simon Fraser University
• Department: Statistics
• Course: STAT 101
• Professor: Timothy Swartz

Document Summary

Stat 101 - lecture 5 - review & sampling. Material corresponds to chapter 7 & 8. Begin transition from exploratory data analysis to statistical inference. Statistical inference - topic addressing question given sample data from a population, what can we learn about the population? . Often difficult/impossible to obtain collection of data from some population of interest. Subset/sample of population - obtained to help us learn about population. Many ways in which samples can be obtained & there are many ways to learn/infer about population. Broad subject area - known as survey sampling. Be able to distinguish b/w simple random samples/convenience samples/voluntary response samples. Understand advantages & pitfalls of each type of sample. Be able to implement simple random sample for modest-sized population. Have some familiarity w/ stratified random sampling & relevance of nonresponse.