The objective of this online course is that all students engaged in its study will leave with a working knowledge of general statistics, therefore since the program is committed to leaving no student behind, a mentor approach to learning is engineered into the instructional curriculum.

Mentoring Approach to Learning: Steps to Assurance Learning (Pindling, 2002)

1. Students learn first by understanding expectations at a modular (topical content level) and global (course competency level)
2. Learning is then demonstrated by instructor or other knowledgeable resource through meaningful examples.
3. Students learning by doing and if successful, knowledge is reinforced over time (integration of prior knowledge into new concepts).
4. If students does not master material at acceptable levels, steps 1 through 3 is repeated with new examples..
5. Students then move on to other topics which hopefully build upon previous knowledge and skills in the hope of developing concept / application integration skills.
 

General Outcomes

At the minimum students who engage often with cooperative learning workshops will develop skills in social learning that allow them to see more alternative way to solve problems and the many nuances of interpretation with similar set of data given broad and specific questions.

Self-interative homework requires that students be honest with their learning progress by using feedback as an opportunity for self-improvement and statistical skills / knowledge development. Since immediately after working out solutions to homework problems students are given feedback on answers and evaluation of their understanding of concepts to be learned, student have an opportunity to learn from mistakes and reinforce learning.

Attempts will be made proctored exams to keep consistency between materials covered and level covered with problems students are required to work on under supervision - no surprises. So all tests are based on knowledge base taught and demonstrated at the level of expected skills and knowledge acquisitions.

It is expected that students should leave this learning experience with a set of statistical tools that they can use to some general statistical summary, assessment, inference and interpretation problems both in knowledge base and skills acquired.