1. 11.5 Choosing a data display

2. What we will learn Classify data as quantitative or qualitative
Choose and create appropriate data displays
Analyze misleading graphs

3. Needed vocab
Qualitative data: also known as categorical data, consists of labels or nonnumerical entries that can be separated into categories
Quantitative data: consists of numbers that represent counts or measurements
Misleading graph: graph that is not drawn appropriately

4. Ex. 1 classify data Jersey numbers on a basketball team Qualitative
Tell whether qualitative or quantitative
Prices of used cars at a dealership.
Quantitative
numerical
Zodiac signs of students in your class
Qualitative
nonnumerical
Jersey numbers on a basketball team
Qualitative
Not measuring anything
Lengths of songs played at a concert
Quantitative
Measure of time

5. Ex. 2 choosing and creating data display
Pick a data display and make
Circle graph, bar graph, box and whisker plot, stem and leaf plot, line graph, stat plot

6. Ex. 3 Misleading Graphs Tell how misleading Ask these questions
Does it have a title
Are numbers evenly spaced
Scale begin at zero, is there a break
Does it need a key
Are axes labeled
Are the components the same size
Misleading because does not start at zero, so bar looks like rapidly increasing

7. Ex. 3 Continued Increments are not equal
Biggest jump looks in 2011 to 2012, but according to scale biggest jump was 2009 to 2010