|
Course Objective |
|---|
|
Acquiring the basic knowledge and concepts of describing data statistically and elementary theory of probability. |
|
Weeks |
Course Contents |
|---|---|
|
1 |
Definition and general view of statistics |
|
1 |
Organization and presentation of statistical data |
|
1 |
Measures of central tendency (Mean, Median, Mode) of the simple data and the frequency distribution |
|
2 |
Measures of dispersion (The Range – The Variance and the standard deviation - Coefficient of variation) of the simple data and the frequency distribution |
|
1 |
Moments and Measure of Skewness and Kurtosis |
|
1 |
Correlation measures |
|
1 |
Simple Linear regression |
|
2 |
Sample space and Events |
|
2 |
Counting Techniques (Fundamental basics, Addition Rule – Multiplication Rule- Permutation and Combinations) |
|
1 |
Definition of the probability and its applications |
|
1 |
Conditional probability - Independence of events and Bayes theorem and its applications |
Methods of Assessment and Distribution of Grades
|
Assessment |
Assessment task |
Week due |
Proportion of Final Assessment |
|---|---|---|---|
|
1 |
Midterm 1 |
6th week |
15% |
|
2 |
Midterm 2 |
12th week |
15% |
|
4 |
Homework + reports + Quizzes |
During the semester |
20% |
|
5 |
Final exam |
End of semester |
50% |
Proposed Book
Elementary Statistics: A Step By Step Approach, 10th Edition, Allan G. Bluman
Proposed Examples
Planned Exercises
Homework
Previous Examinations