MANAGEMENT PROGRAM

DEPARTMENT OF MATHEMATICAL AND COMPUTATIONAL SCIENCES
UNIVERSITY OF TORONTO AT MISSISSAUGA

STA 218H -- Statistics for Management
Course Outline -- Winter/Spring 2007

Website: http://www.fisher.utstat.toronto.edu/~brunner/utm218s07

Lecture

	Times:	Tuesday 11:10am - 12:00pm in CC 2150, and Thursday 11:10am - 1:00pm in KN137
	Instructor:	Jerry Brunner
	Office:	4059c, South Building
	Phone:	905-828-3816
	email:	jbrunner@utm.utoronto.ca
	Office Hours:	Tuesday 12:10 - 2:00

Note: Because of the number of students in our class and the volume of email I already receive, I regret that I will not be able to return phone calls or reply to email from students except in emergencies, and not even then if I neglect my email (which I sometimes do). I am available during office hours, and before or after class.

Tutorial

	Times:	Thursday 9:10am - 10:00am in NE236 and 10:10am - 11:00am in NE286
	Instructor:	Lennon Li
	Office:	3093H, South Building
	Phone:	905-828-5329
	email:	yeli@utstat.utoronto.ca
	Office Hours:	Friday 12 - 2

Faciltated Study Groups

	Times:	Wednesday 4:10pm - 5:00pm in SB1161 and 5:10pm - 6:00pm in SB1143
	Leader:	Ramya Thinniyam

Course Description: Acquaints students with the statistical principles that managers need in order to extract information from numerical data, and to understand the formal principles of decision-making under conditions of uncertainty. Covers descriptive statistics, elementary probability, sampling distributions, estimation, basics of sampling from a finite population, quality control, multiple regression analysis, factorial analysis of variance. [39L, 13T]
Exclusion : STA220H5, 248H5, 250H1, 257H5; BIO360H5; ECO220Y5, 227Y5; PSY201H5; SOC300Y5.

Course Objectives: To acquaint students with the basic principles, procedures and skills that managers need so that they are able to

• Extract meaningful information from numerical data in a business setting.
• Critically evaluate the quality of business data.
• Critically evaluate conclusions based upon analyses of business data.
• Understand formal procedures for decision-making in the face of uncertainty.

Text: A brief course in business statistics (2nd ed.) by Mendenhall, Beaver and Beaver

Determination of Grades:

	Quizzes (drop lowest mark)	25%
	Computer Assignments (drop lowest mark)	15%
	Midterm Test	20%
	Final Examination	40%

Requirements and Criteria: In this course, mathematical requirements are deliberately kept as modest as possible. Students must learn to do certain types of calculation in order to succeed, but the focus is upon what the numbers mean in a management setting, rather than upon elaborate mathematical operations. Learning how to do necessary calculations in Microsoft Excel is emphasized.

There will be a quiz almost every Thursday in lecture, except for Reading Week and the day of the Midterm. Quiz dates are Jan 18, 25, Feb. 1, 8, 15, March 8, 15, 22, 29, April 5.

Quizzes will be based closely upon homework problems. Homework will usually not be handed in; do it to prepare for the quizzes, test and final. The homework problems are examples of what you are learning to do. The quiz, test and exam questions are intended to let us know whether you can do it. Computer assignments will be handed in on quiz days -- maybe not on every quiz day. They are all based on Microsoft Excel. Students will hand in printouts of Excel spreadsheets and charts, or sometimes the spreadsheets may be handed in electronically as email attachments. We will let you know.

The Midterm test is on Thursday, March 1st. This is the first week back after Reading Week. Probably lots of other classes will have midterms that week too; you need to plan ahead. I will not reschedule the midterm, nor will anyone get to take it at a different time.

Procedures and Rules

• Missed Tests: In the event a student misses a quiz or midterm test due to illness or domestic tragedy, the student must contact the Management Departmental office immediately, (Slavka Murray at 905 828-3914), and submit the University's official medical certificate:

  http://www.utoronto.ca/health/forms/medcert.pdf.

  Please be reminded that a doctor's note is not sufficient; the doctor must fill out and sign a copy of the medical certificate.

• Make-ups: No makeup quizzes, tests or homework assignments will be given. If you have a valid excuse, your mark on the final exam will be substituted for the missing mark.
• Appeal of quiz and computer assignment marking: The quizzes and computer assignments are marked by the TA. I can over-rule him, but I will not do so lightly. If you want to know why an answer was marked the way it was, please ask the TA. If you have a problem with the marking, take it up with the TA during his office hours before discussing it with me. If you cannot resolve the issue, then the three of us will schedule a meeting. Of course I am always willing to discuss the answers  to quiz questions -- that's different.
• Late Assignments: Since homework is not handed in, this applies only to the computer assignments. Computer assignments are to be handed in on quiz days along with the quizzes. A late computer assignment will receive a mark of zero.

Plagiarism: It is academic misconduct to present someone else's work as your own, or to allow your work to be copied for this purpose. To repeat, the person who allows her/his work to be copied is equally guilty, and subject to disciplinary action by the university. The most likely form of plagiarism is in connection with the computer assignments. These are individual projects, not group projects. It is fine to discuss the assignments and to learn from each other, but don't copy. Never look at anyone else's printouts (especially the input or spreadsheet formulas) or show anyone your printout before it is due. It is a mistake to give your "friend" a copy of your computer assignment to hand in for you. For more detail on plagiarism, the latest version of the student handout "How not to Plagiarize" is available at

http://www.utoronto.ca/writing/plagsep.html .

The Academic Regulations of the University are outlined in the Code of Behaviour on Academic matters, which can be found in the UTM Calendar or on the web at

http://www.utm.utoronto.ca/regcal/WEBGEN117.html .

Course Timetable (Subject to revision, depending on how fast we go)

Week	Topics	Readings
1	Introduction and vocabulary, Descriptive Statistics, Introduction to Excel, graphical displays of data	Ch. 1 and 2
2	Probability	Ch. 3
3	Discrete probability distributions	Ch. 4
4	Normal and other continuous distributions	Ch. 5
5	Sampling Distributions	Ch. 6
6	Estimation of means and proportions	Ch. 7
7	Sampling from a finite population	Handout
8	Tests of hypotheses for means and proportions	Ch. 8
9	Analysis of variance	Ch. 9
10	Industrial quality control	Ch. 10
11	Linear regression and correlation	Ch. 11
12	Multiple regression	Ch. 12
13	Factorial analysis of variance	Handout