Why It Matters: Statistics (Describing Data)

The following video provides many examples of how contextualized, visually beautiful numbers add meaning and relevance to our life.

In the following pages, we’ll explore how to make information meaningful in a visual format. This will help us solve some problems more quickly, and allow us better understanding for how to compare different types of information to make better decisions as a result.

 

Learning Objectives

Statistical Analysis

  • Present categorical data graphically using a frequency table, bar graph, Pareto chart, pie charts, pictograms
  • Present quantitative data graphically using histograms, frequency tables, pie charts, or frequency polygons
  • Define the measures of central tendency for a sample of data including mean, median, mode
  • Define measures of variation of a sample of data including range, standard deviation, quartiles, box plots