Drop-In Math and Stats Help
Regular Drop-In Hours
Murray Library, Rm 144
- Mon.: 10 am - 8 pm
- Tues.: 10 am - 8 pm
- Wed.: 10 am - 7 pm
- Thurs.: 10 am - 7 pm
- Fri.: 10 am - 6 pm
- Sat.: Closed
- Sun.: 1 - 4 pm
The math and stats help centre offers drop-in tutoring for current U of S students. You are welcome to bring your homework and questions to Murray Library Rm. 144 to get help from our tutors.
Math and stats help focus on providing help for current U of S student taking first-year and introductory courses, but can help you with a range of mathematical and statistical topics.
Unfortunately, we are not able to provide help with research-level statistics at this time. Please contact the Department of Mathematics and Statistics for advice on research-level statistics. You may also find the Numeric Data library guide to be helpful.
Workshops and Announcements
Math 110 Help Session
Stay tuned for an announcement about a help session for Math 110 to be held by Amos L., lab coordinator from the Department of Mathematics & Statistics.
Math and Stats Help Resources
The Department of Mathematics and Statistics has developed an on-line Mathematics Placement Test (MPT) for new university students. Students who are registered in most 100 level Math courses are required to write the MPT before they are allowed to register for calculus.
Topics covered on the MPT are:
- Arithmetic skills
- Basic algebra and functions
- Geometry and trigonometry
- Exponential and logarithmic functions
For practice questions that will prepare you to take the MPT, use the Sample Math Placement Test from the Department of Mathematics and Statistics.
If you have questions about the MPT, contact Amos Lee in the Department of Mathematics and Statistics.
Looking for help with the statistical package R? The library has video tutorials available at lynda.usask.ca (NSID authentication required).
- Code Clinic R: Explore solutions to common R programming challenges, and then compare the results with other programming languages in the Code Clinic series.
- Up and Running with R: Introduces the R statistical processing language, including how to install R, read data from SPSS and spreadsheets, analyze data, and create charts and plots.
- R Statistics Essential Training: Use R to model statistical relationships using its graphs, calculations, tests, and other analysis tools.
For trigonometry students: unit circle diagram showing positive angles in radians and degrees and their terminal points.