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New Numbers, Same Classes! Some of our most important general education classes have new course numbers and names effective this Fall. Don't miss your GE requirements and read your Mountie email for more information!

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STAT 10S - Support Topics for Introduction to Statistics

(Formerly MATH 11 - Support Topics for Elementary Statistics)

The following are the Student Learning Outcomes (SLOs) and Course Measurable Objectives (CMOs) for STAT 10S. A Student Learning Outcome is a measurable outcome statement about what a student will think, know, or be able to do as a result of an educational experience. Course Measurable Objectives focus more on course content, and can be considered to be smaller pieces that build up to the SLOs.

Student Learning Outcomes (SLOs)

  1. Students feel that STAT 10S has improved their overall mathematical understanding and ability in STAT C1000. (measured by survey provided by corequisite committee)
  2. STAT 10S students will be able to interpret slope and y-intercept of a linear function in context with a word problem such as the application of a regression line.
  3. STAT 10S students will be able to compute and understand area in relation to probabilities.
  4. STAT 10S students will be able to use critical thinking to write conclusions regarding statistical studies.

Course Measurable Objectives (CMOs Effective Beginning Fall 2025)

  1. Assess how data were collected and recognize how data collection affects what conclusions can be drawn from the data. 
  2. Identify appropriate graphs and summary statistics for variables and relationships between them and correctly interpret information from graphs and summary statistics. 
  3. Describe and apply probability concepts and distributions.
  4. Demonstrate an understanding of, and ability to use, basic ideas of statistical processes, including hypothesis tests and confidence interval estimation.
  5. Identify appropriate statistical techniques and use technology-based statistical analysis to describe, interpret, and communicate results.
  6. Evaluate ethical issues in statistical practice.