1. 1.2 Drawing Conclusions 2.3 Misuse & Abuse of Statistics

2. Statistical Problem-Solving Process – 1) Ask a question of interest – 2) Produce Data (observational study or experiment) – 3) Analyze Data (graphs, averages, etc.) – 4) Interpret Results Read and Discuss Example 1.10 on pg. 20 Read and Discuss Example 1.11 on pg. 21

3. 2008 Electoral College Obama: 68%McCain: 32%

4. 3 ME 4 AK VT 3MA 12 CT 7 RI 4 WI NY 10MI 31 MN 17 10 PA 21 WA IA 7 IL 21 NJ 11 IN 11 OH 20 15 OR ID 4 MT 3ND 3 NE 5 WV D 7 WY 3SD 3 MO 11 5 MDE NV CO 9 KS 6 KY 8 DC103 5 UT 5 VA 13 3 OK 7 AR 6 TN 11 NC 15 AZ 10 NM 5 MS AL 9 TX 34 6 GA 15 SC 8 CA 55 LA 9 FL 27 4 HI If the area of each state matched its electoral votes

5. 2008 Electoral College Obama: 68%McCain: 32%

6. Analyzing Data Compare graph in question 1.25 (pg 22) to graph on pg. 20 (same data), how do they differ? – Note labels, axes, titles – Referenced (in II. Produce data section) see appendix N in back of books Compare the Table on page 21 to the graph on page 23. Both represent the same data, but which is easier to draw conclusions from? – What conclusions can you draw? – What is an outlier?

10. When Not to Zoom

11. When to Zoom

19. Overdoing 3D Application 2.3 on page 91 Page 86, making good graphs Watch CNN & BBC election videos if time