Introduces descriptive statistics and visual representations of
quantitative data. Examines data sets using graphing and
statistical software packages. Demonstrates how to present data
in ways that are accurate, effective, and visually appealing.
Data visualization is a growing interdisciplinary field. This
class will review the latest theories in data visualization and
apply them to real data sets. Students will have the opportunity
to explore multiple representations of quantitative data and
investigate how those representations help create new knowledge.
Student learning goals Understand when and how to calculate
descriptive statistics for a data set including mean, median,
mode, standard deviation, percentages, and correlation. Be able
to read, interpret, and critique a variety of visual
representations of data including tables, charts, maps, etc. Be
able to determine which visual representation for a given data
set would be an effective display of the the critical
information. Be able to present data in