1
Displaying Data
Professor Kaplan
STAT 2000
22 Aug 2011
Goals for Chapter 2: Aug 22 - 29
Students will be able to:
• Identify variables in a study and determine
whether a variable is categorical, discrete
quantitative or continuous quantitative
• make, describe and read
– pie and bar charts
– histograms, dot plots, box plots and stem
and leaf displays
• Describe numerically the center and variability
of the distribution of a quantitative variable by
finding
– 5 number summary
– Mean and Standard Deviation
• Know which of the two sets of measures is
appropriate for a given data set
On the first day of class
• I asked you two questions
– Why are you taking this course?
– What do you hope to get out of this
course?
• I took about 400 pieces of paper back to
my office
• They needed to be organized so I could
learn something from them
• I need to be able to read the story
3 Rules of Data Analysis
1. Make a picture
•To help you think clearly about the patterns and
relationships hiding in your data.
2. Make a picture
•To show the important features and unexpected
values or patterns in your data.
3. Make a picture
To tell others what your data reveal.
