STAT200_pqb: Elementary Statistics

Fall 1998


| Main Page | Materials | Announcements | Schedule | Assignments | Policies |

Class Information

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

Instructor Information

Name Email 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

TA Information

Name Email 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 

Class Overview

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