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+++ title = "Chapter 2" date = "2017-04-29T18:36:24+02:00" Weight=2 +++

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Summarizing Data

Learning Outcomes

  • Use appropriate visualizations for different types of data (e.g. histogram, barplot, scatterplot, boxplot, etc.).
  • Use different measures of center and spread and be able to describe the robustness of different statistics.
  • Describe the shape of distributions vis-a-vis histograms and boxplots.
  • Create and intepret contingency and frequency tables (one- and two-way tables).

Supplemental Readings

Videos

Summarizing and Graphing Numerical Data

<iframe width="560" height="315" src="https://www.youtube.com/embed/Xm0PPtci3JE?list=PLkIselvEzpM6pZ76FD3NoCvvgkj_p-dE8" frameborder="0" allowfullscreen></iframe>

Exploring Categorical Data

<iframe width="560" height="315" src="https://www.youtube.com/embed/7NhNeADL8fA?list=PLkIselvEzpM6pZ76FD3NoCvvgkj_p-dE8" frameborder="0" allowfullscreen></iframe>

Note about Pie Charts

There is only one pie chart in OpenIntro Statistics (Diez, Barr, & ??etinkaya-Rundel, 2015, p. 48). Consider the following three pie charts that represent the preference of five different colors. Is there a difference between the three pie charts? This is probably a difficult to answer.

Pie

However, consider the bar plot below. Here, we cleary see there is a difference between the ratio of the three colors. As John Tukey famously said:

There is no data that can be displayed in a pie chart that cannot better be displayed in some other type of chart

Bar

Source: https://en.wikipedia.org/wiki/Pie_chart.

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