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| Data sets- populations and samples
Exploring/describing data sets Exploring/describing data relationships Sampling and sampling distributions Estimating means, variances and proportions Point estimation - unbiased estimators - likelihood methods Sample size selection for estimating means and proportions Interval estimation for means variances and proportions Hypothesis testing for means variances and proportions Goodness of fit Comparing two population means Comparing two population variances Comparing two population proportions Contingency tables Normal linear regression & correlation models Multiple regression Analysis of variance Nonparametric procedures |
TEXT
Applied Statistics and Probability
for Engineers
Second Edition
by Montgomery and Runger
Wiley, 1999
STUDENT BACKGROUND/RESOURCES
Probability: This course is intended for students who have completed an introductory course in probability. The probability prerequisite is Mathematics 155H or equivalent.
Mathematics: This course is intended for students who have completed an introductory course in calculus and have had an introduction to matrix algebra. The mathematics prerequisite is Mathematics 110 or Mathematics 105H or equivalent. Mathematics 135H is highly recommended.
Computing: Previous specific computing experience is not required for those parts of the course involving computer-based analyses; however, familiarity with the Trent University computing facilities will be assumed. The applications of MINITAB will be introduced in the courses as necessary.
Calculators: Due to the considerable amount of numerical work involved in this course, students should possess a calculator with built-in statistical function keys.
COURSE STRUCTURE
Lectures: There will be three lecture hours per week as indicated in the University Academic Timetable. Lecture hours will be used for the presentation of course material and for questions related to the course material. Lecture hours will be used for tests as well, as indicated below in the test schedule. Students are responsible for all material covered in lectures and for all announcements made in lecture hours. Students who miss classes must ensure that they determine what material was covered and what announcements were made in classes that they miss.
Seminars: There will be problems seminars as scheduled in the University Academic Timetable. Seminars will not take place every week, but will be scheduled to coordinate with problem sets.
MARKING SCHEME
| Problem Sets: There will be eight problem sets through the year, four per term. Each problem set will contribute 5% of the final mark. |
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| Quizzes: There will be two in-class mid-term tests, one per term. Each test will contribute 10% of the final mark. |
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| Final Examination: There will be a final examination. The final examination will contribute 40% of the final mark*. |
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100% |
* There will be a class decision to determine whether the final examiniation will be a take-home examination or a regular three-hour sit-down examination. If it is the latter, any student who obtains a mark on the final examination that is higher than the final mark produced by the weighting above will receive her/his examination mark as her/his final mark, provided that s/he has a complete term mark. A student must submit solutions for all problem sets and write both tests to have a complete term mark!
TEST SCHEDULE
| Test 1......... | Friday, November 16 | |||
| Test II........ | Friday, March 1 |
PROBLEM SET DUE DATES
Problem set solutions may be submitted
in class or may be submitted by 4:00 pm to the instructorís office.
Late submissions should be approved, in advance, by the instructor.
Tentative due dates are:
| Problem Set 1..... | Monday, October 15 | Problem Set 5..... | Monday, January 21 | |
| Problem Set 2..... | Monday, October 29 | Problem Set 6..... | Monday, February 11 | |
| Problem Set 3..... | Monday, November 12 | Problem Set 7..... | Monday, March 4 | |
| Problem Set 4..... | Monday, December 3 | Problem Set 8..... | Monday, March 25 |
| Instructor | Office Hours | Secretary |
| E.A. Maxwell
CC F30 748-1011x1417 eamaxwell@trentu.ca |
Vary from week to week but are posted each week on the instructor's office door. | Carolyn
Johns
LEC N126 748-1531 cjohns@trentu.ca |
PLAGIARISM
Discussing problems and working out solutions with other students is a natural part of the learning process; however, students ultimately must be able to do problems themselves. Students are expected to produce and to write up their own final solutions individually. Copying from other students is plagiarism. Students should note the following university statement on plagiarism.
Plagiarism is an extremely serious academic offence and carries penalties varying from failure in an assignment to debarment from the University. Definitions, procedures and penalties for dealing with plagiarism are set out in Trent Universityís Policy on Plagiarism which is available on request from every department or college office or from the Registrarís office.
LINKS:
| RETURN
TO MAIN
COURSE PAGE |
| E.A. Maxwell
2001-08-07 |