STAT 2080 Lecture Notes - Lecture 2: Hemoglobin, Unimodality, Pie Chart

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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.

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