POLI 311 Lecture Notes - Lecture 6: Statistical Inference, Level Of Measurement, Univariate
2 Apr 2016
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Document Summary
Descripive staisics: used to describe characterisics of a populaion or a sample. Inferenial staisics: used to generalise from a sample to the populaion from which the sample was drawn. They involve using a sample to make inferences about the populaion (there will always be some sampling error, so there will be a value + or a margin of error). Univariate stats: used to describe or make inferences about the value of a single variable. Bivariate stats: used to describe or make inferences about the relaionship between the values of two variables. Mulivariate stats: used to describe or make inferences about the relaionship between the values of three or more variables. First step in data analysis is always to describe each of our variables separately (univariate descripive stats). Describing a distribuion: nominal data frequency distribuion: a list of the number of observaions in each category of the variable. It displays the frequency with which each possible value occurs.
