Math 2560H: Introduction to Statistical Inference
Instructor: Michelle Boué Email:
email@example.com Office Phone: 748-1011 x7925 Office: Peter Gzowski College 332 (Enweying)
Secretary: Carolyn Johns Email: firstname.lastname@example.org or email@example.com Office Phone: 748-1011 x7531 Fax: 748-1011 x1555 Office: Peter Gzowski College 342 (Enweying)
Course Topics and Objectives
Mathematics 2560H provides an introduction to statistical analysis. Topics discussed include data summarization, exploratory data analysis, sampling, point and interval estimation, likelihood methods, hypothesis testing and comparative inferences. Throughout the course, R statistical software will be used.
MATH 2560H is the first part of what used to be MATH355. The second part (MATH 3560H- Linear Statistical Models) will be offered in the Winter of 2009.
Probability and Statistics for Engineering and the Sciences, by Jay L Devore (Fifth, Sixth or Seventh Edition), Duxbury.
Learning SystemAny material relevant to the course as well as updated grades will be available on MyLearningSystem.
Probability Prerequisite: MATH 155H or equivalent.
Calculus Prerequisite: MATH 110 or MATH 105H or equivalent. This course is NOT open for students with credit in MATH 355 or MATH256H.
Computing: The application of the statistical software R will be introduced in the course as necessary.
Calculators: Students should possess a calculator with built-in statistical function keys.
There will be three lecture hours per week as indicated in the Academic Timetable. Students are responsible for all material covered in lectures and for all announcements made in lecture hours.
Problem Sets: Five problem sets, each contributing 7% of the final mark.
R Worksheets The average of all worksheets (completed when class is in a computer lab) will contribute 6% of the final mark.
Midterm examinations: Two in-class exams, each contributing 12% of the final mark.
Project: One final project, contributing 10% of the final mark.
Final Examination: There will be a final three-hour examination during the final examination period. The final examination will contribute 25% of the final mark.
Problem sets:   5 x 7% 35% R Worksheets   1 x 6% 6% Midterm exams   2 x 12% 24% Project   1 x 10% 10% Final exam   1 x 25% 25% 100%
Syllabus and complete scheduleComplete listing of topics and readings can be found in the 2560H Tentative Schedule.
Academic dishonesty, which includes plagiarism and cheating, is an extremely serious academic offense and carries penalties varying from failure in an assignment to suspension from the University. Definitions, penalties, and procedures for dealing with plagiarism and cheating are set out in Trent University's Academic Dishonesty Policy which is printed in the University Calendar.
Access to instruction:
It is Trent University's intent to create an inclusive learning environment. If a student has a disability and/or health consideration and feels that he/she may need accommodations to succeed in this course, the student should contact the Disability Services Office (BL Suite 109, 748-1281, firstname.lastname@example.org) as soon as possible. Complete text can be found under Access to Instruction in the Academic Calendar.
Math. Dept. Trent University
This page last updated: 17/09/2008
Sept.17 data sets: