| School/Faculty/Institute | Faculty of Education | |||||
| Course Code | MATH 233 | |||||
| Course Title in English | Statistics I | |||||
| Course Title in Turkish | Statistics I | |||||
| Language of Instruction | EN | |||||
| Type of Course | Flipped Classroom | |||||
| Level of Course | Intermediate | |||||
| Semester | Fall | |||||
| Contact Hours per Week |
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| Estimated Student Workload | 130 hours per semester | |||||
| Number of Credits | 5 ECTS | |||||
| Grading Mode | Standard Letter Grade | |||||
| Pre-requisites | None | |||||
| Expected Prior Knowledge | None | |||||
| Co-requisites | None | |||||
| Registration Restrictions | Only Undergraduate Students | |||||
| Overall Educational Objective | To learn about descriptive and inferential statistical procedures in order to apply descriptive statistical techniques while interpreting different data sets. | |||||
| Course Description | This course covers the basic concepts and procedures in descriptive and inferential statistics. The course begins with introducing the scales of measurements, methods for describing and summarizing frequency distributions, the concepts of central tendency, location of scores and standardized distributions followed by methods for hypothesis testing and describing relationships between two (or more) variables. The course then introduces probability theory as a background for understanding inferential statistics. | |||||
| Course Description in Turkish | Bu ders kapsamında betimsel ve yorumlayıcı istatistiğin temel kavram ve teknikleri incelenmektedir. Ders kapsamında istatistiksel ölçüm dereceleri, sıklık dağılımlarını tanımlamak ve göstermek için kullanılan yöntemler, merkezi eğilim kavramı ve ölçüleri, bireysel puanların dağılımdaki yeri ve standart dağılımlar, hipotezin test edilmesi, iki veya daha fazla değişken arasındaki ilişkinin açılnaması konuları incelenmektedir. Ayrıca, yorumlayıcı istatistiğe bir giriş olarak olasılık teorisi incelenmektedir. |
Course Learning Outcomes and CompetencesUpon successful completion of the course, the learner is expected to be able to:1) appreciate the importance of statistics and data analysis; 2) tabulate and graph data by using the appropriate methods of frequency distributions 3) understand and discriminate the interconnections between the notions of central tendency (mean, mode, median); 4) understand the concepts of variability (range, variance, standard deviation) and apply these concepts when required; 5) understand the basics of hypothesis testing; 6) analyze data by using spreadsheet software (e.g., MsExcel, SPSS). |
| Program Learning Outcomes/Course Learning Outcomes | 1 | 2 | 3 | 4 | 5 | 6 |
|---|---|---|---|---|---|---|
| 1) Thorough knowledge of the major concepts, theoretical perspectives, empirical findings, and historical trends in psychology. | ||||||
| 2) Understanding of and ability to apply essential research methods in psychology, including research design, data analysis, and data interpretation. | ||||||
| 3) Competence to use critical and creative thinking, skeptical inquiry and a scientific approach to solving problems related to behavior and mental processes. | ||||||
| 4) Understanding and ability to apply psychological principles, skills and values in personal, social, and organizational contexts. | ||||||
| 5) Ability to weigh evidence, to tolerate ambiguity, and to reflect other values that underpin psychology as a discipline. | ||||||
| 6) Internalization and dissemination of professional ethical standards. | ||||||
| 7) Demonstration of competence in information technologies, and the ability to use computer and other technologies for purposes related to the pursuit of knowledge in psychology and the broader social sciences. | ||||||
| 8) Skills to communicate the knowledge of psychological science effectively, in a variety of formats, in both Turkish and in English (in English, at least CEFR B2 level). | ||||||
| 9) Recognition, understanding, and respect for the complexity of sociocultural and international diversity. | ||||||
| 10) Recognition for the need for, and the skills to pursue, lifelong learning, inquiry, and self-improvement. | ||||||
| 11) Ability to formulate critical hypotheses based on psychological theory and literature, and design studies to test those hypotheses. | ||||||
| 12) Ability to acquire knowledge independently, and to plan one’s own learning. | ||||||
| 13) Demonstration of advanced competence in the clarity and composition of written work and presentations. |
| N None | S Supportive | H Highly Related |
| Program Outcomes and Competences | Level | Assessed by | |
| 1) | Thorough knowledge of the major concepts, theoretical perspectives, empirical findings, and historical trends in psychology. | N | |
| 2) | Understanding of and ability to apply essential research methods in psychology, including research design, data analysis, and data interpretation. | N | |
| 3) | Competence to use critical and creative thinking, skeptical inquiry and a scientific approach to solving problems related to behavior and mental processes. | H | Exam,HW,Participation |
| 4) | Understanding and ability to apply psychological principles, skills and values in personal, social, and organizational contexts. | N | |
| 5) | Ability to weigh evidence, to tolerate ambiguity, and to reflect other values that underpin psychology as a discipline. | N | |
| 6) | Internalization and dissemination of professional ethical standards. | N | |
| 7) | Demonstration of competence in information technologies, and the ability to use computer and other technologies for purposes related to the pursuit of knowledge in psychology and the broader social sciences. | N | |
| 8) | Skills to communicate the knowledge of psychological science effectively, in a variety of formats, in both Turkish and in English (in English, at least CEFR B2 level). | N | |
| 9) | Recognition, understanding, and respect for the complexity of sociocultural and international diversity. | S | Participation |
| 10) | Recognition for the need for, and the skills to pursue, lifelong learning, inquiry, and self-improvement. | S | HW,Participation |
| 11) | Ability to formulate critical hypotheses based on psychological theory and literature, and design studies to test those hypotheses. | N | |
| 12) | Ability to acquire knowledge independently, and to plan one’s own learning. | S | Exam,HW |
| 13) | Demonstration of advanced competence in the clarity and composition of written work and presentations. | H | Exam,HW |
| Prepared by and Date | MAHMUT KERTİL , June 2018 |
| Course Coordinator | BENGİ BİRGİLİ |
| Semester | Fall |
| Name of Instructor | Asst. Prof. Dr. MAHMUT KERTİL |
| Week | Subject |
| 1) | Introduction to the statistics |
| 2) | Scales of measurement Discrete and continuous variables |
| 3) | Frequency distributions |
| 4) | Measures of central tendency |
| 5) | Central tendency and shape of distribution (cont’d.) |
| 6) | Measures of variability |
| 7) | Measures of variability (cont’d.) Statistic Lab: Using MsExcel or SPSS |
| 8) | Midterm Examination |
| 9) | z-scores: location of scores and standardized distributions |
| 10) | Standardized distributions (cont’d.) Statistic Lab: Using MsExcel or SPSS |
| 11) | Probability, normal distribution and samples |
| 12) | Introduction to hypothesis testing |
| 13) | Introduction to hypothesis testing Statistic Lab: Using MsExcel or SPSS |
| 14) | Introduction to t-statistic |
| 15) | Final Examination Period |
| 16) | Final Examination Period |
| Required/Recommended Readings | Gravetter, F. J. & Wallnau L. B. (2009). Statistics for the Behavioral Sciences (9th ed.). Thomson Learning. (Required) | |||||||||||||||
| Teaching Methods | Flipped learning, Direct instruction, Group work on some classroom activities, Laboratory work | |||||||||||||||
| Homework and Projects | Students will be assigned four homework through the whole semester | |||||||||||||||
| Laboratory Work | Laboratory work will be held once in two weeks. In laboratory work, students are expected to use MsExcel or SPSS in order to apply the statistical concepts that they learned in the course. | |||||||||||||||
| Computer Use | Computer use is necessary during laboratory work. | |||||||||||||||
| Other Activities | In-class group works on some problems will be conducted. | |||||||||||||||
| Assessment Methods |
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| Course Administration |
kertilm@mef.edu.tr - Office Hours: by appointment |
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| Activity | No/Weeks | Hours | Calculation | ||||
| No/Weeks per Semester | Preparing for the Activity | Spent in the Activity Itself | Completing the Activity Requirements | ||||
| Course Hours | 14 | 1 | 3 | 1 | 70 | ||
| Project | 4 | 8 | 32 | ||||
| Midterm(s) | 1 | 8 | 2 | 10 | |||
| Final Examination | 1 | 16 | 2 | 18 | |||
| Total Workload | 130 | ||||||
| Total Workload/25 | 5.2 | ||||||
| ECTS | 5 | ||||||