NYU Stern School of Business

Undergraduate College


Spring 2012

Instructor Details

Course Meetings

TR, 3:30pm to 4:45pm

Tisch T-201

Final Exam: Thursday, May 10th 4:00-5:50p

Schedule exceptions
    Class will not meet on:
    Class will meet on:


Course Description and Learning Goals

Objective: The mission of this course is the achievement of an understanding of the nature of data and of randomness in business situations. This course will match the first part of the material in course C22.0103.


Course Pre-Requisites

V63.0121 - Calculus 1, 4 credits


Course Outline

Chapters 1 through 9  of Statistics for Business and Economics, Second Custom Edition for New York University, by McClave, Benson and Sincich will be covered.

The important topics are these:

C22.0001 will use Minitab to perform statistical analyses. Student Minitab will be bundled together with the text at the NYU Store. Furthermore students can access Minitab using their stern accounts by going to apps.stern.nyu.edu or by going to an NYU Computer lab.

The program Minitab (release 15, compatible with Student Minitab) and all the course data files will be available at people.stern.nyu.edu/gsimon/statdata. This course is a moderate user of the software, so you might find it more cost-effective to use the computer labs.


Required Course Materials

Text:  The text is Statistics for Business and Economics, Second Custom Edition for New York University, by McClave, Benson, and Sincich. The publisher is Prentice-Hall. This book is sold in the University Bookstore in a package that contains Student Minitab.

Software:  Student Minitab will be sold together with the text.


Assessment Components

Tests and Homeworks will have the following weights in counting towards the Final Grade:



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.



The process of assigning grades is intended to be one of unbiased evaluation. Students are encouraged to respect the integrity and authority of the professor’s grading system and are discouraged from pursuing arbitrary challenges to it.

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


Class attendance is essential to your success in this course. It is typical for a student to require numerous resources to be able to understand key concepts in Statistics. The text book is one such good resource, another is your Professor. Furthermore, if I cannot put a face to a name, it is much harder for me to monitor your progress in the course and to make sure you don't sink.


In-class contribution is an important part of our shared learning experience. Your active participation helps me to boost your overall performance.
You can excel in this area if you come to class on time and contribute to the course by:


Late assignments will either not be accepted or will incur a grade penalty unless due to documented serious illness or family emergency. Exceptions to this policy for reasons of religious observance or civic obligation will only be made available when the assignment cannot reasonably be completed prior to the due date and you make arrangements for late submission in advance.

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 express 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.


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