| Code: İMÖ 307 |
Course Title: STATISTICS AND PROBABILITY I |
Theoretical+Practice: 2+2 |
ECTS: 5 |
|
| Year/Semester of Study |
3 / Fall Semester |
| Level of Course |
1st Cycle Degree Programme |
| Type of Course |
Compulsory |
| Department |
ELEMENTARY MATHEMATICS EDUCATION |
| Pre-requisities and Co-requisites |
None |
| Mode of Delivery |
Face to Face |
| Teaching Period |
14 Weeks |
| Name of Lecturer |
MÜJDET GÜNGÖR (mujdetgungor@nevsehir.edu.tr) |
| Name of Lecturer(s) |
MÜJDET GÜNGÖR, |
| Language of Instruction |
Turkish |
| Work Placement(s) |
None |
| Objectives of the Course |
| To be able to inform the student about probability theory and to apply this information to some events or some (random) variables which may be encountered in daily life or scientific research, to be able to make calculations about them, to be expected the average value of a variable or a data group, the standard deviation, etc. teach.
|
| Learning Outcomes |
PO |
MME |
| The students who succeeded in this course: |
|
|
| LO-1 |
Learn basic statistics |
PO-6 To be able to design and choose appropriate tools, instruments and materials for mathematics subjects and teaching process.
|
Examination
|
| LO-2 |
Learn the relationship between variables |
PO-7 To be able to use mathematical language accurately in their mathematics courses and in planning learning and teaching process.
|
Examination
|
| LO-3 |
Make parameter estimates |
PO-7 To be able to use mathematical language accurately in their mathematics courses and in planning learning and teaching process.
|
Examination
|
| LO-4 |
Knows the concepts of skewness and stickiness. |
PO-1 Having the knowledge of teaching programs, teaching strategies, measurement and assessment methods related to the field
|
Examination
|
| LO-5 |
Knows and explains the basic concepts of probability theory. |
PO-12 To be able to assess mathematics improvements using different assesment techniques.
|
Examination
|
| LO-6 |
Explain the basic concepts of discrete and continuous probability distributions |
PO-1 Having the knowledge of teaching programs, teaching strategies, measurement and assessment methods related to the field
|
Examination
|
PO: Programme Outcomes
MME:Method of measurement & Evaluation |
| Course Contents |
| Basic concepts, frequency distributions, histogram and frequency polygon, graphical representation of categorical data and applications. Parametric and nonparametric central tendency measurements and applications. Parametric and nonparametric distributions and their applications. Skewness and pressure. Basic concepts in probability theory, addition and multiplication rule, bayes theorem, probability distribution table, expected value and applications. Binary, Poisson and hypergeometric distributions and applied studies in discrete probability distributions.
|
| Weekly Course Content |
| Week |
Subject |
Learning Activities and Teaching Methods |
| 1 |
Basic concepts, frequency distributions |
Lecturing and question solutions |
| 2 |
Histogram and frequency polygon. |
Lecturing and question solutions |
| 3 |
Graphical representation of categorical data and applications. |
Lecturing and question solutions |
| 4 |
Parametric center tendency measurements |
Lecturing and question solutions |
| 5 |
Parametric distribution measurements. |
Lecturing and question solutions |
| 6 |
Skewness and kurtosis |
Lecturing and question solutions |
| 7 |
Basic concepts in probability theory |
Lecturing and question solutions |
| 8 |
mid-term exam |
|
| 9 |
Collecting and multiplication rule, bayes theorem |
Lecturing and question solutions |
| 10 |
Probability distribution table, expected value and applications |
Lecturing and question solutions |
| 11 |
Probability distribution table, expected value and applications |
Lecturing and question solutions |
| 12 |
Basic concepts in discrete and continuous probability distributions |
Lecturing and question solutions |
| 13 |
Basic concepts in discrete and continuous probability distributions |
Lecturing and question solutions |
| 14 |
Binomial, poisson and hyper geometric distribution and applied studies. |
Lecturing and question solutions |
| 15 |
Binomial, poisson and hyper geometric distribution and applied studies. |
Lecturing and question solutions |
| 16 |
final exam |
|
| Recommend Course Book / Supplementary Book/Reading |
| 1 |
• Akdeniz, F. (1998). Olasılık ve İstatistik, Baki Kitabevi, Adana |
| 2 |
Semra Oral Erbaş ; Olasılık ve İstatistik Problemleri ve Çözümleri , Gazi Kitabevi |
| Required Course instruments and materials |
| Books, computers, projectors
|
