STAT 3460 Lecture Notes - Lecture 1: Simple Random Sample, Cluster Sampling, Variance

• School: Ohio State University
• Department: Statistics
• Course: STAT 3460
• Professor: Chenggong Han, Laura Kubatko, Min Ho Cho, Yuan Gao

Document Summary

Staisics the science of analyzing data: the objecive of staisics is to make inferences about a populaion based on the informaion contained in a sample from that populaion and to provide an associated measure of goodness for. Populaion the enire collecion of objects or outcomes about which informaion is sought. Parameter characterisic of the populaion: example: finite populaion. Parameter: number of hours osu students spend studying during inals week. Staisic: average of the values for the students in the sample. Staisic a value computed from the observaions in a sample. Tangible and conceptual populaions: tangible populaion a inite populaion consising of actual physical objects, conceptual populaion an ininite populaion from an experiment consising of all values that could possibly have been observed. Independence: independent when knowing some of the items in a sample does not help predict the values of the others.