# STAT 1034 Lecture Notes - Lecture 1: Exploratory Data Analysis, Quartile, Pie Chart

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## Document Summary

Stat 1034 notes (good luck you can do this!) 20: 1. 2 displaying distribution with graphs, exploratory data analysis examines data in order to describe its main features, graphs for categorical variables, bar graphs, pie chart, graphs for quantitative variables, stem and leaf plots, histograms. = (cid:2869)+(cid:2869)(cid:2870) =(cid:2870)(cid:2870)=(cid:883: measuring spread, quartiles, ex. 2, -1, -1, -1, 1, | 1, 2, 2, 4, 5 (n=10) 2 -1 0 1 2 3 4 5. Day 4 (8/28): outliers, 1. 5 x iqr. 2, -1, -1, -1, 1, | 1, 2, 2, 4, 5: 2 -1 = 3 = iqr, *above = q3 + 1. 5 x iqr, = 6. 5, *below = q1 1. 5 x iqr* Changing these units is called standardizing and z-score. If x is an observation from a distribution with mean. A: the key to finding areas is to think in terms of cumulative proportions. B c: take the area of c and subtract the area of b.

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