Chapter 2
Descriptive Statistics: Tabular and
Graphical Displays
Learning Objectives
1. Learn how to construct and interpret summarization procedures for qualitative data such as:
frequency and relative frequency distributions, bar graphs and pie charts.
2. Learn how to construct and interpret tabular summarization procedures for quantitative data such as:
frequency and relative frequency distributions, cumulative frequency and cumulative relative
frequency distributions.
3. Learn how to construct a dot plot and a histogram as graphical summaries of quantitative data.
4. Learn how the shape of a data distribution is revealed by a histogram. Learn how to recognize when
a data distribution is negatively skewed, symmetric, and positively skewed.
5. Be able to use and interpret the exploratory data analysis technique of a stem-and-leaf display.
6. Learn how to construct and interpret cross tabulations, scatter diagrams, side–by-side and stacked bar
charts.
7. Learn best practices for creating effective graphical displays and for choosing the appropriate type of
display.
Solutions:
1.