Statistical Sciences 2244A/B Study Guide - Quiz Guide: Univariate, Categorical Variable, Histogram
17 Mar 2020
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Stats 2244: describe and identify the type of data/variable (e. g. quantitative, nominal, discrete, ratio) Imputation: replace with mean, frequent value, predicted value, treat as a new category or analysis, for categorical data. Identify appropriate spreadsheet structure (i. e. elements of tidy data: each variable in its own column, each observation has its own row, each value has its own cell. Identify and provide information that should be included in metadata accompanying datasets: metadata, description of data collection, where to access the data, known problems or inconsistencies, quality check characteristics, number of rows/ columns, sum for numerical columns. Textbook: distinguish between quantitative versus categorical (i. e. "qualitative") variables, quantitative: takes numerical values and represent some kind of measurement, categorical: take category or label values and place an individual into one of several groups. Identify the types of graphs/numerical summaries that are appropriate, based on the type of variable (i. e. quantitative vs. categorical: categorial, pie charts.
