STA 110E

STA 110 E: Statistics and Data Analysis

Duke University
Fall 1998
MW 2:20-3:35
139 Social Sciences Building

Instructor: Brani Vidakovic

Office: 223 B Old Chemistry Building

Office Hours: Tuesdays 3:00-3:50; Wednesdays 3:40-4:40

Phone: 684-8025

Email: brani@stat.duke.edu

Instructor:	Brani Vidakovic
	Office: 223 B Old Chemistry Building
	Office Hours: Tuesdays 3:00-3:50; Wednesdays 3:40-4:40
	Phone: 684-8025
	Email: brani@stat.duke.edu

Teaching Assistants:

Name Email Phone Office Hours Office Location

Deborah Jonas debjr@acpub.duke.edu 660-5767 by appointment Psychology

Merrill Liechty merrill@stat.duke.edu 684-4558 by appointment 221 Old Chem

Name	Email	Phone	Office Hours	Office Location
Deborah Jonas	debjr@acpub.duke.edu	660-5767	by appointment	Psychology
Merrill Liechty	merrill@stat.duke.edu	684-4558	by appointment	221 Old Chem

Recitations:

Section Teaching Asst Time Room/Bldg

1 Deborah Jonas Th 3:50-4:40 North 130

2 Deborah Jonas Th 12:40-1:55 North 130

3 Merrill Liechty F 10:30-11:20 North 130

4 Merrill Liechty F 11:50-12:40 North 130

Section	Teaching Asst	Time	Room/Bldg
1	Deborah Jonas	Th 3:50-4:40	North 130
2	Deborah Jonas	Th 12:40-1:55	North 130
3	Merrill Liechty	F 10:30-11:20	North 130
4	Merrill Liechty	F 11:50-12:40	North 130

Text: Introductory Statistics (4th Edition), Neil A. Weiss, Addison-Wesley. ISBN 0-201-53270-0

Groups: Students are encouraged to form small (up to 4 people) learning/working groups. Homeworks and Project will be group assignments.

Class Project: Each group will work on one research project. Details on format of the project - in class.

Quizzes: Weekly quizzes during recitation classes; lowest quiz score will be dropped -- no make-ups.

Homework: Homeworks are weekly/biweekly group assignments.

Final: The final exam will be open book, open notes and will be comprehensive [will test material from the entire semester].

Grading: Course grade is based on midterm (30%), quizzes and homeworks (20%), final project (15%) and final (35%) .

Formal Description of STA 110: Descriptive statistics, displaying and summarizing data, probability and its role in statistical modeling and inference; comparing several groups of data; exploratory data analysis; point and interval estimates; linear models; analysis of variance and linear regression. This course provides an introduction to the basic ideas of applied statistics with examples and applications focused in the social sciences. This course covers analysis of univariate and multivariate data, linear regression and analysis of variance, with an emphasis on graphical displays. Commonly used probability distributions, such as normal and binomial, are introduced as useful models for observed data. Students are required to use statistical software, usually minitab.

Tentative Outline Syllabus:

31 Aug - 2 Sep: Intro, Chapter 2