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The first exam is theoretical and practical: 25% The second exam is theoretical and practical: 25% The final theoretical and practical exam: 40% final seminar: 10% A 50 % is required for a pass in this course. |
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Time Frame |
Content Breakdown |
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Session 1 (Week 1) |
Introduction to Scientific Evidence: - Biological evidence - Why do we use statistics? |
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Session 2 (Week 2) |
Data types: - Is the data distribution normal? - Data entry and conversion - Data description and representation techniques - Statistical variables and distributions |
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Session 3 (Week 3) |
How to describe the data? |
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Session 4 (Week 4) |
How to choose a statistical analysis? |
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Session 5 (Week 5) |
Statistical probabilities |
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Session 6 (Week 6) |
The normal distribution of the data |
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Session 7 (Week 7) |
Descriptive and ordinal correlation scales |
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Session 8 (Week 8) |
Midterm Exam |
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Session 9 (Week 9) |
- Correlation - Regression equation and calibration |
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Session 10 (Week 10) |
Evidence evaluation: - Oral statements of evidentiary value - Types of evidence - Evidence value - Significance testing and evaluation of evidence |
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Session 11 (Week 11) |
- Conditional probability and theory - Drafting proposals - Practical evaluation of the evidence |
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Session 12 (Week 12) |
- Examples of evaluating evidence |
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Session 13 (Week 13) |
Errors in interpreting the data: - P-value - Errors accepted |
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Session 14 (Week 14) |
Errors in interpreting the data: - Statistical errors in interpretation - Interpretation errors based on statistics |
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Session 15 (Week 15) |
Errors in interpreting the data: - Matching errors - - Digitization errors - Systematic errors in interpretation - - Fallacy of the defendant database - The independent hypothesis |
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Session 16 (Week 16) |
Final Exam |
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Attendance |
Students are expected to attend every session of class, arriving on time, returning from breaks promptly and remaining until class is dismissed. Absences are permitted only for medical reasons and must be supported with a doctor’s note. |
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Generic Skills |
The faculty is committed to ensuring that students have the full range of knowledge and skills required for full participation in all aspects of their lives, including skills enabling them to be life-long learners. To ensure graduates have this preparation, such generic skills as literacy and numeric, computer, interpersonal communications, and critical thinking skills will be embedded in all courses. |
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Course Update |
Information contained in this course outline is correct at the time of publication. The content of the courses is revised on an ongoing basis to ensure relevance to changing educational employment and marketing needs. The instructor will endeavor to provide notice of changes to students as soon as possible. Timetable may also be revised. |