1.   | Quiz (30 mins) | 5% | - 1 - Demonstrate an understanding of the correct presentation, description and analysis of descriptive data.
- 2 - Develop skills and an understanding of probability, normal distributions and sampling distributions to statistical questions.
|
2.   | Group Presentation of a Practical Application Question + Q&A Session (15 mins) | 15% | - 1 - Demonstrate an understanding of the correct presentation, description and analysis of descriptive data.
- 2 - Develop skills and an understanding of probability, normal distributions and sampling distributions to statistical questions.
- 3 - Demonstrate an ability to draw conclusions about populations based on sample information.
|
3.   | Mid Semester Test (1hour) | 10% | - 1 - Demonstrate an understanding of the correct presentation, description and analysis of descriptive data.
- 2 - Develop skills and an understanding of probability, normal distributions and sampling distributions to statistical questions.
- 3 - Demonstrate an ability to draw conclusions about populations based on sample information.
|
4.   | Written Assignment: Practical Application Question (1500-3000 words) and in-class presentation (10 mins) | 20% | - 1 - Demonstrate an understanding of the correct presentation, description and analysis of descriptive data.
- 2 - Develop skills and an understanding of probability, normal distributions and sampling distributions to statistical questions.
- 3 - Demonstrate an ability to draw conclusions about populations based on sample information.
- 4 - Demonstrate an ability to make reliable forecasts based on variables of interest.
|
5.   | Final exam (3 hours) | 50% | - 1 - Demonstrate an understanding of the correct presentation, description and analysis of descriptive data.
- 2 - Develop skills and an understanding of probability, normal distributions and sampling distributions to statistical questions.
- 3 - Demonstrate an ability to draw conclusions about populations based on sample information.
- 4 - Demonstrate an ability to make reliable forecasts based on variables of interest.
|