1 212 998 0476
MW, 9:00am to 11:55am
Midterm Exam: June 6th
Final Exam: June 27th
Class will not meet on: May 28th (Memorial Day)
Class will meet on:
Midterm Exam: June 6th
Final Exam: June 27th
The mission of this course is the achievement of an understanding of the nature of data
and of randomness in business situations. Objectives include the control of statistical
bias, data presentation, appreciation of probability and randomness, random variables,
and statistical inference.
V63.0121, Calculus 1
This course will not use calculus to any appreciable degree, though it certainly exploits algebraic manipulations.
The course will cover chapters 1-7 of the textbook.
The important topics are these:
· Overview of statistics (chapter 1)
· Graphical descriptions such as stem-and-leaf displays, histograms, and bivariate plots; mean, median, mode, standard deviation (chapter 2)
· Basic concepts of probability (chapter 3)
· Discrete probability laws, especially binomial and Poisson (chapter 4)
· Continuous probability laws, especially normal (chapter 4)
· Sampling distributions, with particular attention to the sampling distribution of the sample average, the Central Limit Theorem (chapter 4)
· The conﬁdence interval methodology for a single sample (chapter 5)
· The hypothesis testing paradigm for a single sample (chapter 6)
· The two-sample problem, conﬁdence intervals and hypothesis tests (chapter 7)
The easiest source for the course materials is the STAT-UB.0001 bundle, sold at the university bookstore for about \$116. This bundle contains these three items:
Statistics for Business and Economics, 11th edition, by McClave, Benson, and Sincich. The publisher is Prentice-Hall.
This is a customized edition for New York University. It is a subset of the full 11th edition, and on the cover you will see the words ``Second Custom Edition for New York University". The page numbers and exercise numbers of this customized edition are consistent with the full 11th edition.
Student’s Solutions Manual, by Nancy S. Boudreau.
Minitab, student edition, which is a computer program for statistical analysis.
Buying the bundle is a genuine bargain since the full-feature MINITAB program separately sells at an academic price of about $115.
If you choose not to buy the STAT-UB.0001 bundle, you will still need to acquire the textbook. Owning the Student’s Solutions Manual and Minitab may be convenient to you, but it is not critical for completing this class. Only a very few homework assignments will require the use of a statistical software.
Software: In the class demonstrations Minitab will be used, so you may find it convenient to use the same for the few homework assignments that requires a statistical software. However, one problem with Minitab is that at this point it does not run on Apple computers. For this reason and also because many students are already familiar with Excel, it is acceptable to use Excel for the homework assignments. If you choose to do so then you do not need to acquire the Minitab software. If you are buying the bundle then you will have a choice between using Minitab or Excel for the assignments.
If you decide to use Minitab for the homework assignments, there are a number of options for accessing it.
1. Get Student Minitab in the bundle at the university bookstore (the simplest and most economical option).
2. Purchase the CD version of release 16 from the bookstore, about $115. Do not purchase releases 14 or 15, unless at a very deep discount. Versions earlier than 14 are not useful. Due to the high cost I recommend this option only to those students who will have a need for a good statistical software beyond this class.
3. Rent Minitab release 16 for $30 for six months from www.e-academy.com/minitab. Minitab 15 may still be available here, but you should choose 16, the newer version.
4. Download release 16 for $100 from www.e-academy.com/minitab, or mail-order it from the same website for the same price. This is quite costly, see my remark above in point 2.
5. Use the program, release 16, for no charge through the Citrix system. If you do this, please be aware that (a) you may have connection problems at times, and (b) you may find file management challenging.
In order to use Citrix you need a Stern account. If you are registered to this course then you already have one, even if you are not a Stern student. If you never used the Stern account, you have to activate it. You can do so at the web site "start.stern.nyu.edu" (do not type www before this). The system will ask you a few questions for identification. For NETID type your NYU net id. For the University id type in the N-number on the back of your NYU card. For birthday include dashes.
Here is a step-by step instruction for using Citrix. When asked for user id and password, use your Stern account.
1. First load all data files that you will need onto your C drive.
2. Citrix is reached through http://apps.stern.nyu.edu. Using your favorite browser go to that site.
3. Use your STERN user id and password to log in.
3. You need to download a software at this point (if you have already done this then skip this step). Click on "download", save the file on your desktop, and run the file.
4. Now you are (hopefully) in the main Citrix window listing various available software. Find the icon for ``Minitab 16" and click on it.
5. When Minitab opens, you will want to read a worksheet through File - Open Worksheet or perhaps read a project thorough File - Open Project from the C drive of your computer.
In the Open Worksheet or Open Project panel click on the arrow next to ``Look in". The C:\ drive on your local machine will be identified as ``Local Disk C: on ..." (the ... probably includes your user name). Click on "Local Disk C:...", then click on the file you want to open. Make sure that when you are opening a data file in Minitab, in the "files of type" field of the "Open worksheet" window "Minitab (*.MTW,*.MPJ)" shows. Now (hopefully) you are ready to work with the file you opened.
During the above step Citrix will give you a window entitled ``Client File Security". Click on the radio button for Full Access so that you can read and write files to the C:\ drive of your computer.
If you are using a computer in the Stern computer lab then you can skip step 3 (according to the help desk ``the software should be installed on most computers in the lab"). After step 2 you will be directed to the site which lists various software available on the Stern computers.
If you have questions, you can also call the Stern IT help desk at 212 998-0180. Alternatively, you can go personally to the IT help desk, located on the UC level of the KMC building.
Course work will involve many instances of simple calculations, and for these a hand held calculator will be helpful. The only calculator features needed for this course are the four basic functions (addition, subtraction, multiplication, division), square roots, exponential and logarithm. It helps if your calculator has a memory. It is not necessary (or even desirable) to have a calculator with statistical functions such as standard deviation or regression.
The disk with the textbook contains data files for the examples and exercises. Files that are necessary for completing the homework assignments will also be available on the class Blackboard site.
Midterm/Final Exams, homework assignments
The grade will be based on a combination of three inputs: the midterm exam (40%), the ﬁnal exam (50%), and the homework assignments (10%). The ﬁnal exam is cumulative. Homework assignments will be posted on Blackboard.
Class attendance is mandatory. Exceptions can be made for medical, religious reasons or for very important events.
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 are important to us and to students who come after you. Please complete them thoughtfully.
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.
Your class may be recorded for educational purposes
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.
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: its different components will not be graded separately. Your exams may contain questions that are based on aspects of your group projects.
It is recommended that each group establish ground rules early in the process to facilitate your joint work including a problem-solving process for handling conflicts. In the infrequent case where you believe that a group member is not carrying out his or her fair share of work, you are urged not to permit problems to develop to a point where they become serious. If you cannot resolve conflicts internally after your best efforts, they should be brought to my attention and I will work with you to find a resolution.
You will be asked to complete a peer evaluation form to evaluate the contribution of each of your group members (including your own contribution) at the conclusion of each project. If there is consensus that a group member did not contribute a fair share of work to the project, I will consider this feedback during grading.
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.
In-class contribution is a significant part of your grade and an important part of our shared learning experience. Your active participation helps me to evaluate your overall performance.
You can excel in this area if you come to class on time and contribute to the course by: