Chapter 11

# Chapter 11 - Chapter 11 Displaying Distributions with...

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Chapter 11 Displaying Distributions with Graphs In this chapter Stem-and-Leaf plot Histogram Shapes of Distributions Stem-and-Leaf plot The goal with the graphs in this chapter is to look at the distribution for a quantitative variable. When looking at the graphs presented, it is important to identify if there are extreme values in the data and the shape of the distribution. Extreme value (or Outlier ) – observations that are separated from the rest of the data set by some margin Example Identify the extreme value in the following data. 14, 15, 17, 21, 60, 23, 25 Answer The extreme value is 60. The impact of an extreme value can be great. Suppose we want to estimate the average income for this class. If John Calipari was in the class, then his income (which is in the millions) would be an extreme value. That would make the average appear very high simply because of one observation. Shape – the pattern displayed when the graph is created (The most common shapes of distributions will be introduced at the end of the chapter) Important characteristics of a stem-and-leaf Separates data entries into “leading digits” or “stems” and “trailing digits” or “leaves”

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## This note was uploaded on 07/12/2011 for the course STATS 200 taught by Professor Bradley,w during the Fall '10 term at KCTCS.

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Chapter 11 - Chapter 11 Displaying Distributions with...

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