STAT 2080 Lecture Notes - Lecture 2: Hemoglobin, Unimodality, Pie Chart
Document Summary
Look at single variables first before looking at relationships between variables. Graphical display of categorical variables (i. e. ex. 1. 7, 1. 8, 1. 9, 1. 10. p10-12: data represent favourite online resource for 552 first-year college students. Google/google scholar, library database/website, wikipedia/other online encyclopedia, other: frequencies or percents can be summarized in a table, bar graph, pie chart. Table/graph/chart summarizing favourite online resource data: google represents the most favourite used (73. 6%, other was the least (3. 4%) Graphical display of quantitative variables: want to look at distribution of a quantitative variable (pattern of data) Shape symmetry, skewness: left skewed or right skewed. Spread (i. e. very spread out or data is clumped together on graph: look for deviations from the pattern (outliers) 1: put stems (tens) in a column from smallest (at top) to largest (at bottom), put in leaves with corresponding stem in order from smallest to largest. How about for large data sets: histograms.