Statistics 110E -- Statistical and Data Analysis-Psychology/Biological Sciences

Statistical and Data Analysis-Psychology/Biological Sciences

Course STA110E
Class Time MW 2:20-3:35
Location 139 Social Sciences

Instructor:
Merlise Clyde
Office: 219A Old Chemistry Building
Office Hours: Monday 3:40-4:40; Tuesday 3:30-4:30; Wednesday 11:00-12:00; or by appointment
Phone: 681-8440
Email: clyde@stat.duke.edu

Daily Course Calendar and Assignments

Teaching Assistants:

Name
Email
Phone
Office Hours
Office Location
Horatiu Voicu hv2@duke.edu660-5659TBA020 Psychology
Enrique ter Horst enrique@stat.duke.edu684-8840TBA222 Old Chemistry


Recitations:

Section
Teaching Assistant
Time
Room/Bldg
1 Horatio Voicu Th 3:50-4:40 North 130
2 Horatio Voicu Th 12:40-1:55 North 130
3 Enrique ter Horst F 11:50-12:40 North 130
4 Enrique ter Horst F 10:30-11:20 North 130

Text: Seeing Through Statistics by Jessica Utts, Second Edition, Duxbury Press

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

Class Project: Each group will work on one research project. Details on format of the project will be distributed in class and on the web.

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

Homework: Homeworks are weekly/biweekly group assignments based on the Text Questions and MiniProjects.

Final: The final exam will cover material from the entire semester. Practice Final exam. This is a sample of questions from previous 110 sections. Your exam may differ in length and difficulty.

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

Course Synopsis for STA 110E: Introduces probability and statistics to biological and social scientists who expect to use statistics in their work and evaluate pulished research. Emphasis is evenly divided between understanding fundamental statistical concepts and analyzing statistical data. Computer software, such as SAS JMP IN or SAS INSIGHT, is used to analyze data sets.