**Course Information:
E10.2001**

__Overview__

Designed as a two-semester
sequence for doctoral students, this course introduces students to the tools of
data analysis using SPSS for Windows. Emphasis is on the acquisition of
conceptual understanding over computational skill. Particular topics covered
are listed in the course outline.

**Instructors**

Professor: Sharon L. Weinberg

email: sharon.weinberg@nyu.edu

phone: 212-998-2373

office location: 12^{th} Floor, Bobst Library

office hours: Mondays, 2 to 3 pm

Teaching Assistant: Eileen Rodriguez

email: rodr5085@cims.nyu.edu

__Meeting Times__** **

Except where noted on the
curriculum outline, E10.2001 meets on Mondays from 3:30 to 6:00 pm.

__Computer
Lab__

As a student in this class you
have priority access to the computer labs which means that you may enter the
lab at any time by swiping your ID. The regular lab consultants often do not
know SPSS, but they can answer system level questions about accessing SPSS, and
saving, printing, and opening files. At Tisch LC8, there are two statistics
consultants during the day who know SPSS quite well.

__Course
Materials__

The text Data Analysis for the
Behavioral Science using SPSS by Sharon L. Weinberg and Sarah K. Abramowitz,
Cambridge University Press, 2002 is available at the NYU Bookstore.

__Grading
Policies__

Homework: Practicing what has
been covered in class is essential to learning statistics. Homework will be
assigned, collected, and graded each week. All students are responsible for
completing all homework assignments on time and raising related questions in
class.

Project: Students will be expected to complete a project that requires the
selection of appropriate statistical methods to answer a series of questions
based on a given data set made available by the instructor and to interpret and
communicate findings in a cogent manner.

Exams: There will be one midterm and one cumulative final.

Grade Composition: Homework: 15% Midterm: 25% Final Exam: 25% Project: 35%

**Syllabus** .

Course Outline: E10.2001 .

Day Topic Discussed in Class

09/10 Overview & introduction to SPSS: Chapter 1

09/17 No class: Rosh Hashanah Holiday

09/24 Examining univariate distributions: Chapter 2

10/01 Measuring location, spread, and skewness: Chapter 3

10/08 Transforming data: Chapter 4

10/15 Bivariate relationships: Chapter 5

10/22 Simple linear regression: Chapter 6

10/29 Review for Midterm: Chapters 1 through 4

11/05 MIDTERM: Includes material through Chapter 4

11/12 Review Midterm; Introduction to inferential statistics: Chapter 7

11/19 Foundations of inferential statistics continued: Chapter 7

11/26 Foundations of inferential statistics: Chapter 8

12/03 Foundations of inferential statistics: Chapter 9

12/10 LAST CLASS. PROJECT DUE. Review for Final.

12/17 FINAL EXAM: Includes all material covered during the semester