1. CHAPTER 3 Graphical Presentations

2. Types of Variables l Qualitative - categories which can be named - Classification : Fr., So., Jr., Sr. - Occupation l Quantitative - “meaningful” numerical values - SAT score - Height, Weight, Age

3. Quantitative Variables may be discrete or continuous l Discrete - possible values for the variable can be listed - number of brothers - number of Heads out of 10 tosses of a coin l Continuous - different values can be arbitrarily close - height - weight

4. Blood Group Data – “raw data” Patient # Blood Type 1 O 2 A 3 A 4 O 5 B 6 O 7 A 8 AB..

6. Pie Chart - Blood Group Data

8. Bar Chart - Blood Group Data

12. APTITUDE TEST scores for 20 applicants : Raw Data: 68, 72, 91, 47, 52, 75, 63 55, 65, 35, 84, 45, 58, 61 69, 22, 46, 55, 66, 71 Ordered List: 22, 35, 45, 46, 47, 52, 55 55, 58, 61, 63, 65, 66, 68 69, 71, 72, 75, 84, 91 Ways to Display Quantitative Data

13. Dot Plot for Aptitude Data Score

14. Stem-and-Leaf Diagram

15. HISTOGRAM l for quantitative data l “sort of like” bar chart l represents % by area

20. Density Scale % in that class interval Density Scale- sets height of block so that resulting area is % in that class interval % in class interval density scale ( % per unit) = length of class interval

21. Summary HISTOGRAM -- for quantitative data -- represents % by area (use density scale) -- total area in blocks is 100% -- each histogram should have: - title - axes should be “numbered” and labeled BAR CHART -- for qualitative data -- represents % by height

22. (what’s wrong with this histogram?) 4055 70 8095 20