STA 101 Lecture Notes - Lecture 1: Cluster Sampling, Data Cluster, Categorical Variable

• School: Duke University
• Department: Statistical Science
• Course: STA 101
• Professor: Mine Cetinkaya- Rundel

Document Summary

* continuous - take on any of an infinite number of values within a given range. * discrete - take on one of a specific set of numeric values. * ordinal - levels have an inherent ordering (ex: on a scale of 1 -10, how satisfied are you with this service?) * associated- (+/-) two variables that show some connections with one another. * confounding variables- extraneous variables that affect both the explanatory and the response variable, and that make it seem like there is a relationship between them. * explanatory variables- conditions we can impose on experimental units. * blocking variables- characteristics that the experimental units come with, that we would like to control for. * prospective- data are collected throughout the study. * experimental - randomly assign subjects to treatments, establish causal connections. * simple random sample (srs) each case is equally likely to be selected.