B A 301 Lecture Notes - Lecture 1: Simple Random Sample, Sampling Bias, Categorical Variable
9 Feb 2018
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Document Summary
The science of collecting, describing, and analyzing data. Categorical variable - divided cases into groups, placing each case into one of two or more categories. Quantitive variable - measures or records a numerical quantity for each case. Numerical operations like adding and averaging make sense for quantitative variables. Explanatory variable - explains changes in that variable. Response variable - the focus of a question in a study or experiment. Example: there is a study to see if treatment a or treatment b prolongs longer life in cancer patines. The explanatory variable is the type of treatment. Nominal variable - has groups without meaningful order (gender, stat 200 section) Ordinal variable - has groups with a meaningful order ( t- shirt size s, m, l, xl) (taste rating. Discrete variable - has a countable number of outcomes that can be listed ( number of hairs on your head, credits for this semester)
