Statistics 2501: Further Statistics for Business and Arts Students
Section 001: Fall 2003
Slot 3: MWF 10:00-10:50am C-2010

Instructor: Gary Sneddon, HH-3057. phone: 737-8069.

Email: sneddon@math.mun.ca
Webpage: http://www.math.mun.ca/~sneddon

Office Hours: Mondays 2-3:30pm, Thursdays 9:00-11:00am,
Fridays 11:00am-noon, or by appointment.

Textbook: Statistics for Business and Economics, 8th edition, by McClave, Benson and Sincich. The 7th edition (or earlier) of the book will do just fine, though. I will try to put a copy of the textbook on reserve in the library.

Prerequisite: ST2500 or ST2510. Even ST2550 is probably fine; just check with me to make sure.

Course Evaluation Five Assignments  15% 


Project 15% 


Midterm Exam 20% 


Final Exam 50% 

Project: You will be given a dataset during the term, and your project will be to do a complete statistical analysis of this dataset, and to write a report on your findings. The statistical methods you use will primarily be those used in this course, although you may be expected to use some procedures that were covered in your previous statistics course, such as ST2500. More details on this project will be given by mid-October. It will be due during the final week of the term.

Notes.

1. No books will be allowed for the test or exam. You will be allowed to bring some material on formula sheets to the test and exam; details on this will be provided in class. Any necessary tables will be supplied.

3. The midterm exam will be held in class on Friday, Oct. 17. A make-up midterm exam may be permitted, given a valid medical excuse.

4. The final exam will cover the entire course, and will be 2 hours in length.

5. Assignments will usually involve written solutions and problems done with the statistical package Minitab. The due dates for the assignments will be specified on the assignment handouts. Late assignments will lose 10% of the assignment grade for each day the assignment is late.

6. Credit can be obtained for only one of ST2501, ST2560, the former ST2511, and Psychology 2901.

Deferred Examination Policy:

Missing a final examination in a course is a matter with potentially grave consequences. A deferred examination will normally be granted only if it is the middle of three exams within 24 hours, or in cases of bereavement or serious medical problems. Application forms for deferrals are available from the General Office of the Department of Mathematics & Statistics (HH-3003). A request for deferral on grounds of bereavement must be accompanied by an official letter providing date of death and relationship of deceased to the student. A request for deferral for medical reasons must be accompanied by a note on medical letterhead, signed by a physician, and confirming indisputably that the student was unable to write the regularly scheduled examination. The Department does not grant deferred exams to students who claim to have been ill, told their doctor that they were ill, were unable to reach the examination room on time, or have misread or been confused in any way by the examination timetable.

Statistics Help Centre Hours Monday: 9:00am-noon HH-3026 


Friday:   noon-1:30pm HH-3026 


Help provided by Yi Liu. 

Lab Sessions: Slots 53A (Wed. noon-1:30pm) and 63A (Wed. 2:00-3:30pm), CS-1009.
Labs will be conducted by Mark Crocker.

Software: We will be using the statistical package Minitab for Windows, v. 13. For anyone who took ST2500 or ST2550 in 2002-2003, you would have had some exposure to this package. The lab sessions will give you your best opportunity to work on the Minitab portions of your assignments, so attendance is highly recommended.

NOTE: The lab sessions begin on Wednesday, Sept. 10.

Practice Problems

This is a list of practice problems from the textbook (8th edition). Some questions may require the use of Minitab.

Chapter 10: 10.15, 10.26, 10.28, 10.38(a-c), 10.51, 10.57, 10.71, 10.77(a-b).

Chapter 11: 11.3, 11.7, 11.21, 11.32 (also use the output to find a 99% PI for $y$ when $x_{1} = 5\%$, $x_{1} = 3\%$), 11.52, 11.62, 11.70, 11.93, 11.107(b-e)

Chapter 14: 14.7, 14.17, 14.20(a-c), 14.41(c,d), 14.66

Chapter 15: 15.9(b, d), 15.15(a, b), 15.29, 15.55(b), 15.67

Chapter 13: 13.47(a, b), 13.49(a, c)

Tentative Course Schedule

Week	Date	Topic, Section in Text
1	Sept. 3-5	Background Review
2	Sept. 8-12	10.1-10.3 Simple Linear Regression: Model, Least Squares Line
		10.6-10.7 Correlation and coefficient of determination
		Assignment 1 given out
3	Sept. 15-19	10.4 Estimator of $\sigma^{2}$
		10.5 Inference about slope of model
4	Sept. 22-26	10.8 Estimation and Prediction with Model
		11.1, 12.2 Multiple Regression: Model, Types of Variables
		Assignment 2 given out
5	Sept. 29-Oct. 3	11.2-11.3 Least Squares, Model Assumptions
		11.5 Overall F-test
		11.4 Inferences about $\beta$ Parameters
6	Oct. 6-10	11.6 Estimation and Prediction
		11.13 Residual Analysis
		11.7-11.8 Higher Order Models
		Assignment 3 given out
7	Oct. 13-17	Oct. 13: Thanksgiving. No Classes.
		11.11 Testing Portions of a Model
		Midterm Exam on Oct. 17
8	Oct. 20-24	11.11 Testing Portions of Model (continued)
		11.9-11.10 Models with Qualitative Independent Variables
		11.9-11.10 More on Regression Models
		Assignment 4 given out
9	Oct. 27-31	14.1 Design of Experiments: Introduction
		14.2-14.3 Completely Randomized Designs
10	Nov. 3-7	14.2-14.3 Randomized Designs (continued)
		14.4 Factorial Experiments
		Assignment 5 given out
11	Nov. 10-14	15.1 Nonparametric Statistics: Introduction
		15.2 The Sign Test
12	Nov. 17-21	15.3 Wilcoxon Rank Sum Test
		15.4 Wilcoxon Signed Rank Test
13	Nov. 24-28	13.1, 13.3 Time Series: Introduction
		13.9 Autocorrelation
		13.8 Seasonal Models
14	Dec. 1	Tying up Loose Ends
		Project Due
		Dec. 1: Last day of classes for this course