Statistics and Probability
Elementary Mathematics Education
Faculty of Education
First Cycle (Bachelor's Degree)
| Course Unit Title | Course Unit Code | Type of Course Unit | Level of Course Unit | Year of Study | Semester | ECTS Credits |
|---|---|---|---|---|---|---|
| Statistics and Probability | IMO303 | Compulsory | Bachelor's degree | 3 | Fall | 4 |
Name of Lecturer(s)
Associate Prof. Dr. Ali Fuat YENİÇERİOĞLU
Learning Outcomes of the Course Unit
1) Express and apply concept of probability and probability axioms.
2) Solve problems related permutation, combinations, ordered and unordered partitions, Binom Theorem.
3) Solve problems related conditional probability, independent events, Bayes Theorem
4) Solve problems related concept of random variable, distribution of discrete and continuous random variable.
5) Explain and apply geometric, negative binom distributions and their properties
6) This course will enable one to: Calculate descriptive statistics.
7) Interpret and express descriptive statistics on scientific researchs.
8) Apply and interpret measures of central tendency.
Program Competencies-Learning Outcomes Relation
| Program Competencies | ||||||||||||||
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | ||
| Learning Outcomes | ||||||||||||||
| 1 | High | High | Middle | High | High | Middle | High | Middle | High | High | Middle | Middle | High | |
| 2 | High | Middle | High | Middle | High | Middle | High | Middle | High | Middle | High | High | Middle | |
| 3 | Middle | Middle | High | High | High | Middle | High | Middle | High | Middle | High | Middle | High | |
| 4 | Middle | High | High | High | Middle | High | High | Middle | High | Middle | High | Middle | High | |
| 5 | High | High | Middle | High | Middle | Middle | High | High | Middle | Middle | High | Middle | High | |
| 6 | High | High | Middle | Middle | High | High | Middle | High | High | High | High | Middle | High | |
| 7 | High | High | High | Middle | High | Middle | High | High | Middle | High | Middle | High | High | |
| 8 | Middle | High | High | Middle | High | High | High | High | Middle | High | Middle | High | Middle | |
Mode of Delivery
Face to Face
Prerequisites and Co-Requisites
None
Recommended Optional Programme Components
Not Required
Course Contents
Basic concepts, frequency distributions, histogram and frequency polygon,show the categorical datas by graphand applications. Measures of central tendency of parametric and non-parametric and applications. Measures of distribution of parametric and non-parametric and applications. Skewness and kurtosis. Basic concepts in probability theory, rule of addition and product, bayes theory, chart of probability distribution, expected value and applications. Basic concepts in discrete probability distribution, binom, poisson and hypergeometric distribution and applications.
Recommended or Required Reading
Planned Learning Activities and Teaching Methods
1) Lecture
2) Question-Answer
3) Discussion
4) Drill and Practice
5) Brain Storming
6) Case Study
7) Self Study
8) Problem Solving
Assessment Methods and Criteria
Contribution of Midterm Examination to Course Grade |
40% |
|---|---|
Contribution of Final Examination to Course Grade |
60% |
Total |
100% |
Language of Instruction
Turkish
Work Placement(s)
Not Required