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NYU Stern Syllabi Homepage
Course: C22.0103.04 - Statistics for Business Control - Regression and Forecasting Models
Semester: Fall 2000
Class Hours: MWR 11:00 - 12:15 Class Room: Tisch UC61
Instructor: Prof. Samprit Chatterjee
Office Hours: MR 1:30 - 4:00 pm; W 1:00 -3:00 pm
Office: 850 MEC Tel: (212) 998-0480 Email:
TA: Madhu Jalan Email:


The purpose of the course is to train students to formulate analytical problems, to survey statistical techniques, and to introduce technical concepts from the core departments of Stem. The course stresses applications, the technical aspects underlying the methods will be presented intuitively.

The computer will be used as a tool for problem solving. No computer programming background is necessary and detailed instruction for the computer package MINITAB (Version 11) will be provided. This program is available to students in the computer labs.

The mathematical prerequisite for the course is the equivalent of A63.0017. This includes a review of elementary algebra and analytical geometry, and the applications of differential calculus to business problems.

The course will be taught in lecture and discussion mode. Student participation is strongly urged.

There will be 3 seventy-five minute lectures each week. There will be a TA for the course and she will hold regular office hours. The schedule will be announced in class.

Homework Assignments

Assignments will be given out each week and must be submitted the following week for review. All assignments must be completed. There will be a group project, details of which will be given in class.

Course Requirements

Text: Business Statistics by Example (5th ed), by Terry Sincich, 1996.

List of Topics

Recommended Reading: A Casebook for a First Course in Statistics and Data Analysis. Chatterjee, Handcock, and Simonoff. 1995.

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