1. Education 200C: Statistics

2. Course Objectives You will be prepared for more advanced courses in multiple regression and analysis of variance. You will learn and appreciate the sensation of quantification. You will gain new understanding of what someone means when they say “You never step into the same river twice.” You will step into the river over and over and come to love the concept of “error.” You will fall in love with statistics!

3. Course Objectives You will be prepared for more advanced courses in multiple regression and analysis of variance. You will learn and appreciate the sensation of quantification. You will gain new understanding of what someone means when they say “You never step into the same river twice.” You will step into the river over and over and come to love the concept of “error.” You will fall in love with statistics!

4. Course Objectives You will be prepared for more advanced courses in multiple regression and analysis of variance. You will learn and appreciate the sensation of quantification. You will gain new understanding of what someone means when they say “You never step into the same river twice.” You will step into the river over and over and come to love the concept of “error.” You will fall in love with statistics!

5. Course Objectives You will be prepared for more advanced courses in multiple regression and analysis of variance. You will learn and appreciate the sensation of quantification. You will gain new understanding of what someone means when they say “You never step into the same river twice.” You will step into the river over and over and come to love the concept of “error.” You will fall in love with statistics!

6. Course Objectives You will be prepared for more advanced courses in multiple regression and analysis of variance. You will learn and appreciate the sensation of quantification. You will gain new understanding of what someone means when they say “You never step into the same river twice.” You will step into the river over and over and come to love the concept of “error.” You will fall in love with statistics!

7. Hopefully not like this!

8. One kind of error

11. How unusual is that?

12. Downloaded from National Snow and Ice Data Center at http://nsidc.org/data/seaice_index/images/n_plot_hires.pnghttp://nsidc.org/data/seaice_index/images/n_plot_hires.png September 20, 2010

13. Downloaded from National Snow and Ice Data Center at http://nsidc.org/data/seaice_index/images/n_plot_hires.pnghttp://nsidc.org/data/seaice_index/images/n_plot_hires.png September 20, 2010

14. Downloaded from National Snow and Ice Data Center at http://nsidc.org/data/seaice_index/images/n_plot_hires.pnghttp://nsidc.org/data/seaice_index/images/n_plot_hires.png September 20, 2010

15. Population The goal is to describe this as accurately as possible.

16. Population Sample You take a sample. You describe the sample. How good is the sample?

17. Population Sample You take a sample. You describe the sample. How good is the sample?

18. Population Sample You take a sample. You describe the sample. How good is the sample?

19. Syllabus Google “Kenji Hakuta” Go to “courses” Go to Education 200C