
| Section(s) | Times | Classroom |
|---|---|---|
| 13-18 | Lecture: MWF 1:25-2:15 pm (6th period) | 101 Thomas |
| Recitation Section 13 | TR 12:20-1:10 pm (5th period) | 127 S. Hend |
| Recitation Section 14 | TR 1:25-2:15 pm (6th period) | 11 E HH Dev |
| Recitation Section 15 | TR 12:20-1:10 pm (5th period) | 145 Fenske |
| Recitation Section 16 | TR 1:25-2:15 pm (6th period) | 145 Fenske |
| Recitation Section 17 | TR 12:20-1:10 pm (5th period) | 327 Sackett |
| Reciation Section 18 | TR 1:25-2:15 pm (6th period) | 327 Sackett |
| Name | Phone | Office Location | Office Hours | |
|---|---|---|---|---|
| Patricia M. Buchanan | pqb@stat.psu.edu | 865-6266 | 309 Thomas Building | MW: 2:30-3:45 pm |
| Extra Handouts | 332 Thomas (behind the door on a shelf) | Available whenever Thomas Building is open | ||
| SI Leader: Ron Sims | rms206@psu.edu | University Learning Resource Center (ULRC) 5-1841 | ULRC 220 Boucke | Sessions: T&W 6-7 pm 202 Ferguson, W 2:30-3:20 2 HHD |
| Name | Phone | Office Location | Office Hours | |
|---|---|---|---|---|
| Chris Adamopoulos, Sect 13, 14 | hpa@stat.psu.edu | 3-2314 | 301 Thomas | M 11:15-1:10, T 2:30-3:20 |
| Kelly Fox, Sections 15, 16 | kjfox@stat.psu.edu | 3-2314 | 301 Thomas | M 11-12, 2:20-3:20, W 2:20-3:20 |
| Cindy Gargano, Sections 17,18 | cgargano@stat.psu.edu | 3-2314 | 301 Thomas | MW 2:20-3:20, T 11:05-12:05 |
Welcome to Stat 200. First of all, a statistics course is not simply another math course. Moreover, Stat 200 is not merely an enhanced version of Stat 100. Stat 100 is a terminal quantitative literacy course, while Stat 200 presents both basic statistical concepts and methods that are needed to make decisions about data in the presence of uncertainty. You have been asked or encouraged to take Stat 200 because the experts in your selected major believe that you will use statistics in future endeavors. Analysis and interpretation of the data will be strongly stressed, along with writing conclusions about your findings. This course will essentially cover Chapters 1-10 in the textbook. Remaining chapters will only be highlighted. At certain places, the order of the topics covered in class will differ slightly from the order found in the textbook. The course will highlight the following topics:· Descriptive methods for univariate data (both quantitative and qualitative data)
· Basic probability concepts
· Binomial and normal distributions
· Sampling schemes (methods) and sampling distributions
· Inferential methods for univariate data (one, two, or more than two samples)
· Descriptive and inferential methods for bivariate data (both quantitative and qualitative data)
Note: A detailed course outline is found in the packet