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Numerical and visual exploratory data analysis; probability models; point and interval estimation; bias and mean squared error of estimators; single-sample, paired and two- sample inference and hypothesis testing; introduction to experimental design and analysis of variance; introduction to goodness of fit and categorical data analysis; a thorough development of the simple linear regression model.
ST259.
MA240, MA241, EC205, EC255, EC285. [Note: Students holding credit in statistical quantitative methods courses other than those listed above are strongly advised to consult with their home departments before registering in ST260.]
Professor Xu (Sunny) Wang (PhD)
Office: LH3038 (Lazaridis Hall)
Office Hours: Tuesday and Thursday 1 p.m. - 3:30 p.m., Wednesday 2 p.m. - 4 p.m., or by appointment.
E: xwang@wlu.ca
T: x4845
Tuesday and Thursday 4 p.m. - 5:20 p.m. in 1E1 (Arts Building)
Di Meng
Office: LH3086 (Lazaridis Hall)
Office Hours: Tuesday 10 a.m. - 11:30 a.m. and Friday 11:30 a.m. - 1 p.m.
E: meng2690@mylaurier.ca
Trevor Saunderson
Office: LH3048 (Lazaridis Hall)
E: tsaunderson@wlu.ca
T: x3012
Devore, Jay L. and Beck, Kenneth N. Modern Mathematical Statistics with Applications, 2nd Edition, Pearson, 2012.
Students may use a non-programmable, non-graphing calculator on course tests, the midterm and the final examination.
Materials related to this course and the full course outline will be posted on the ST260 MyLearningSpace website. You are responsible for checking here on a regular basis for important announcements.
A final mark out of 100 will be calculated as follows:
Students must earn at least 40% on the final examination to be eligible to pass the course. The final mark will be reported as a letter grade in accordance with the conversion table of the current undergraduate calendar.
This document is a summary of the course outline for ST260 and is provided for the convenience of students.