NYU Stern School of Business

Undergraduate College


Fall 2010

Instructor Details

Frydman, Halina


(212) 998-0453

Mon Thurs 11-12pm & by appointment

KMC 8-55


TF: Shreya Jain


Tue Wed Thurs 12:30 - 1:30 pm

KMC 8-172


Course Meetings

MWR, 9:30am to 10:45am

KMC 4-80


Course Description and Learning Goals

The objective of this course is to introduce students to the basic statistical techniques which are widely used in business and other fields. In particular a considerable attention will be devoted to the technique of regression analysis, which is a useful and powerful technique for modeling the relationships between variables of interest.


Course Pre-Requisites



Course Outline


Reading Assignments from MBS and the Lecture Notes (LN), see below.

1. Introduction and Methods for describing the data

Chapter 1(omit 1.4) – read lightly; Chapter 2, LN#1

2. Basics of Probability

Chapter 3, LN #2

3. Discrete Random Variables

Chapter 4.1 - 4.3, LN#3

4. Continuous Random Variables

Chapter 4.5 - 4.7, 4.9 (p230-232), LN#4

5. Estimation with Confidence Intervals

Chapter 5.1 - 5.5, LN#5

6. Tests of Hypotheses

Chapter 6.1 -  6.5, LN#6

7. Inference Based on Two Samples

Chapter 7.1 - 7.3, LN#7

8. Simple Linear Regression

Chapter 10, LN #8

9. Multiple Regression

Chapter 11.1 - 11.4, 11.6 (p 656-660) 11.11-11.12, LN#9-11





Required Course Materials


1) Statistics for Business and Economics, 2nd custom edition for New York University, by McClave, Benson, and Sincich (MBS), Prentice Hall, 2011.
2) Lecture Notes (posted on Blackboard)

Computer Software

Minitab 16 will be used as statistical software for the course. All relevant data files from MBS are available at www.stern.nyu.edu/~gsimon/statdata. The documents "A Quick Introduction to Minitab", "Guide to Minitab Regression" and "Guide to the Project" will be distributed in class.

The MBS text and Student Minitab Software are sold as one package at the University Bookstore at 726 Broadway.

The only meaningful difference between the Student Minitab version sold at the bookstore and Minitab 15 supported by Stern is the memory restriction of the former. For essentially all of our work Student Minitab will have sufficient memory.


Assessment Components

There will be three examinations including a final examination, weekly assignments and the course project. The grading and dates of the examinations will be as follows: 



Grading Distribution

Exam and other Dates

Exam 1


October 7

Exam 2


November 11

Group project*






Final Examination


December 20


* The course project on the analysis of a data set by regression constitutes the core enhancement.


Group Projects

Guidelines for Group Projects

Business activities involve group effort. Consequently, learning how to work effectively in a group is a critical part of your business education.  Every member is expected to carry an equal share of the group’s workload. As such, it is in your interest to be involved in all aspects of the project. Even if you divide the work rather than work on each piece together, you are still responsible for each part. The group project will be graded as a whole:   .



At NYU Stern we seek to teach challenging courses that allow students to demonstrate their mastery of the subject matter.  In general, students in undergraduate core courses can expect a grading distribution where: 

Note that while the School uses these ranges as a guide, the actual distribution for this course and your own grade will depend upon how well you actually perform in this course.



If you believe an inadvertent error has been made in the grading of an individual assignment or in assessing an overall course grade, a request to have the grade re-evaluated may be submitted. You must submit such requests in writing to me within 7 days of receiving the grade, including a brief written statement of why you believe that an error in grading has been made.


Professional Responsibilities For This Course



Your active participation helps me to evaluate your overall performance.


Classroom Norms


Stern Policies

General Behavior
The School expects that students will conduct themselves with respect and professionalism toward faculty, students, and others present in class and will follow the rules laid down by the instructor for classroom behavior.  Students who fail to do so may be asked to leave the classroom. 

Collaboration on Graded Assignments
Students may not work together on graded assignment unless the instructor gives permission. 

Course Evaluations
Course evaluations are important to us and to students who come after you.  Please complete them thoughtfully.


Academic Integrity

Integrity is critical to the learning process and to all that we do here at NYU Stern. As members of our community, all students agree to abide by the NYU Stern Student Code of Conduct, which includes a commitment to:

The entire Stern Student Code of Conduct applies to all students enrolled in Stern courses and can be found here:

Undergraduate College: http://www.stern.nyu.edu/uc/codeofconduct
Graduate Programs: http://w4.stern.nyu.edu/studentactivities/involved.cfm?doc_id=102505

To help ensure the integrity of our learning community, prose assignments you submit to Blackboard will be submitted to Turnitin.  Turnitin will compare your submission to a database of prior submissions to Turnitin, current and archived Web pages, periodicals, journals, and publications.  Additionally, your document will become part of the Turnitin database.


Recording of Classes

Your class may be recorded for educational purposes


Students with Disabilities

If you have a qualified disability and will require academic accommodation of any kind during this course, you must notify me at the beginning of the course and provide a letter from the Moses Center for Students with Disabilities (CSD, 998-4980, www.nyu.edu/csd) verifying your registration and outlining the accommodations they recommend.  If you will need to take an exam at the CSD, you must submit a completed Exam Accommodations Form to them at least one week prior to the scheduled exam time to be guaranteed accommodation.


Printer Friendly Version