Nevşehir Hacı Bektaş Veli University Course Catalogue
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| 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 | DENİZ KAYA (denizkaya@nevsehir.edu.tr) | ||||
| Name of Lecturer(s) | |||||
| Language of Instruction | Turkish | ||||
| Work Placement(s) | None | ||||
| Objectives of the Course | |||||
| The aim of this course is to teach the basic concepts of statistics and their use in solving related problems. | |||||
| Learning Outcomes | PO | MME | |
| The students who succeeded in this course: | |||
| LO-1 | Can explain the concepts and ideas related to statistics. |
PO-3 Explains the concepts and the relations between concepts related to the field at a level that can meet the needs of the students. |
Examination |
| LO-2 | Can apply the statistical research process (formulating research questions, collecting data, organizing, summarizing, representing, analysing, interpreting and making inferences). |
PO-2 Has the information about the nature, source, limit, accuracy, validity and reliability of knowledge. PO-3 Explains the concepts and the relations between concepts related to the field at a level that can meet the needs of the students. PO-16 Evaluates the knowledge and skills in a critical way. PO-18 Uses ways to reach the information effectively. |
Examination |
| LO-3 | Can use appropriate methods in data analysis. |
PO-1 Has the information of teaching programs, teaching strategies, measurement and assessment methods related to the field. PO-8 Applies the most appropriate teaching strategies, methods and techniques considering students’ developmental characteristics, individual differences, characteristics and achievements of the subject area. |
Examination |
| LO-4 | Can use information and communication technologies in data analysis. |
PO-18 Uses ways to reach the information effectively.
PO-21 Uses information and communication technologies effectively. |
Examination |
| LO-5 | Can explain the importance of using information and communication technologies in the learning of statistical concepts and ideas. |
PO-18 Uses ways to reach the information effectively.
PO-21 Uses information and communication technologies effectively. |
Examination |
| LO-6 | Can calculate inferential statistics by applying measures of central distribution. |
PO-3 Explains the concepts and the relations between concepts related to the field at a level that can meet the needs of the students. PO-12 Generates modelling and solutions relating problems in mathematics and other disciplines. |
Examination |
| LO-7 | Can apply correlation and regression analysis. |
PO-1 Has the information of teaching programs, teaching strategies, measurement and assessment methods related to the field. PO-13 Uses different measurement and evaluation methods and techniques. |
Examination |
| LO-8 | Can explain the importance of statistical knowledge in real life. |
PO-7 Uses mathematical language accurately and effectively in their mathematics courses and in planning learning and teaching process.
PO-16 Evaluates the knowledge and skills in a critical way. |
Examination |
| PO: Programme Outcomes MME:Method of measurement & Evaluation |
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| Course Contents | ||
| This course covers sampling, organization and analysis of data; sampling distribution and estimation; confidence interval concept; interval estimate for the difference of two population means, interval estimate for the ratio of the two population variances, interval estimate for the binomial parameter p; It covers hypothesis testing, correlation and regression. | ||
| Weekly Course Content | ||
| Week | Subject | Learning Activities and Teaching Methods |
| 1 | Examination of statistics basic concepts and definitions | Lecture, discussion, group work and question-answer |
| 2 | Examination of measurements and scales | Literature review, planned group work, question and answer |
| 3 | Frequency distributions and analysis of graphs | Individual study, question-answer, discussion and lecture |
| 4 | Measures of central tendency: Arithmetic mean, examination of geometric mean | Planned group work, lecture, question-answer and discussion |
| 5 | Non-sensitive means: Examination of mode, median, quantiles | Lecture, discussion, group work and question-answer |
| 6 | Measures of variability | Problem solving, lecture, discussion and question-answer |
| 7 | Examination of sampling distributions I | Planned group work, skill development, lecture and discussion |
| 8 | mid-term exam | |
| 9 | Examination of sampling distributions II | Planned group work, skill development, lecture and discussion |
| 10 | Confidence interval estimate I | Problem solving, question-answer, lecture, discussion and brainstorming |
| 11 | Confidence interval estimate II | Problem solving, question-answer, lecture, discussion and brainstorming |
| 12 | Examination of hypothesis tests I | Problem solving, question-answer, lecture, discussion and brainstorming |
| 13 | Examination of hypothesis tests II | Problem solving, question-answer, lecture, discussion and brainstorming |
| 14 | Regression analysis | Lecture, discussion, group work and question-answer |
| 15 | Correlation | Lecture, discussion, group work and question-answer |
| 16 | final exam | |
| Recommend Course Book / Supplementary Book/Reading | ||
| 1 | Ross, S. M. (2015). Olasılık ve istatistiğe giriş (4. baskı) (S. Çelebioğlu ve Kasap, R. Ed.). Ankara: Nobel Akademi Yayıncılık. | |
| 2 | Eygü, H. (2020). Çözümlü güncel örneklerle olasılık ve istatistik. Ankara: Nobel Akademi Yayıncılık. | |
| 3 | Kavuncu, O. (2021). Temel ve uygulamalı istatistik. Ankara: Nobel Akademi Yayıncılık. | |
| 4 | Mazmanoğlu, A. (2016). Herkes için temel istatistik yöntemleri ve uygulamaları. Ankara: Nobel Akademi Yayıncılık. | |
| Required Course instruments and materials | ||
| Lecture notes, auxiliary resources, smart board and projection, mobile applications (statistical calculator, analysis machine, simulation, etc.) | ||
| Assessment Methods | |||
| Type of Assessment | Week | Hours | Weight(%) |
| mid-term exam | 8 | 1 | 40 |
| Other assessment methods | |||
| 1.Oral Examination | |||
| 2.Quiz | |||
| 3.Laboratory exam | |||
| 4.Presentation | |||
| 5.Report | |||
| 6.Workshop | |||
| 7.Performance Project | |||
| 8.Term Paper | |||
| 9.Project | |||
| final exam | 16 | 1 | 60 |
| Student Work Load | |||
| Type of Work | Weekly Hours | Number of Weeks | Work Load |
| Weekly Course Hours (Theoretical+Practice) | 2 | 14 | 28 |
| Outside Class | |||
| a) Reading | 1 | 14 | 14 |
| b) Search in internet/Library | 1 | 14 | 14 |
| c) Performance Project | 0 | ||
| d) Prepare a workshop/Presentation/Report | 0 | ||
| e) Term paper/Project | 0 | ||
| Oral Examination | 0 | ||
| Quiz | 0 | ||
| Laboratory exam | 0 | ||
| Own study for mid-term exam | 1 | 7 | 7 |
| mid-term exam | 1 | 1 | 1 |
| Own study for final exam | 1 | 7 | 7 |
| final exam | 1 | 1 | 1 |
| 0 | |||
| 0 | |||
| Total work load; | 72 | ||