Statistics for Social Sciences(COM336)
| Course Code | Course Name | Semester | Theory | Practice | Lab | Credit | ECTS |
|---|---|---|---|---|---|---|---|
| COM336 | Statistics for Social Sciences | 6 | 2 | 2 | 0 | 2 | 4 |
| Prerequisites | |
| Admission Requirements |
| Language of Instruction | Turkish |
| Course Type | Compulsory |
| Course Level | Bachelor Degree |
| Course Instructor(s) | Esra ALBAYRAK ealbayrak@gsu.edu.tr (Email) |
| Assistant | |
| Objective |
Course objective is to give to the student the basic knowledge concerning the following subjects and to provide him using them when faced : • Descriptive statistics (representation of datas, charts, measures of central tendency and dispersion). • Probability and probability laws (law of sum and product of probabilities, conditional probability), theoretical probability distributions for discret and continuous random variables (binomial, Poisson, hypergeometric, Gaussian and Student (t) probability distributions). • Concept of sampling and sampling methods. • Statistical inference and estimation theory (estimation of a mean, a proportion, estimation by confidence interval). • Parametric hypothesis tests (test of a mean, a proportion, comparaison of means or proportions of two populations). |
| Content |
1) Introduction to statistics, steps of a research project, organization of datas and data analysis. 2) Organization of datas and data analysis, frequency distribution. 3)Graphic representation of frequency distributions. 4) Descriptive measures of central tendancy and dispersion of distributions. 5) Concept and laws of probability. 6) Elementary laws of discrete variables. 7) Elementary laws of continuous variables. 8) Mid-term Exam. 9) Sampling and statistical inference (Estimation of a mean and proportion). 10) Parametric hypothesis testing. (Test of a mean or a proportion) 11) Non-parametric hypothesis testing. (Test Chi-2 of independence and homogeneity) |
| Course Learning Outcomes |
At the end of the course, the studient will : 1) Get the basic knowledge and technics of data analysis and graphical representation of datas. 2) Calculate the probability of different events using appropriate probability laws and distributions. 3) Display obviously the logic and signification of statistical measures and methods. 4) Master the statistical tools in social sciences identifying principal caracteristics, words and key concepts of data analysis and statistical inference. 5) Apply statistical tests to the considered problems. 6) Take the approppriate decision by using statistical methods. |
| Teaching and Learning Methods | |
| References |
Calot, Gérard, Cours de Statistique Descriptive, Dunod, Paris Çakır, Filiz, Sosyal Bilimlerde İstatistik, Alfa Yayınları, 2000 Daniel Wayne W. & Terrell James C., Business Statistics, 5. edition, Houghton Miflin, USA. Newbold, Paul, Statistics for Business and Economics, Pearsons Education Newbold, Paul, İşletme ve İktisat için İstatistik, Çeviren Ümit Şenesen, Literatür Yayıncılık Orhunbilge, Prof. Dr. Neyran, Tanımsal İstatistik, Olasılık ve Olasılık Dağılımları, İ.Ü.İşletme Fak. Yayınları Avcıol Basım Yayın, İstanbul 2000 Orhunbilge, Prof. Dr. Neyran, Örnekleme Yöntemleri ve Hipotez Testleri, İ.Ü.İşletme Fak. Yayınları Avcıol Basım Yayın, 2. Baskı, İstanbul 2000 |
Theory Topics
| Week | Weekly Contents |
|---|---|
| 1 | Introduction to statistics, steps of a research project, organization of datas and data analysis. |
| 2 | Organization of datas and data analysis, frequency distribution. |
| 3 | Graphic representation of frequency distributions. |
| 4 | Descriptive measures of central tendancy and dispersion of distributions. |
| 5 | Quiz. Descriptive measures of central tendancy and dispersion of distributions. |
| 6 | Concept and laws of probability. |
| 7 | Elementary laws of probability for discrete variables. |
| 8 | Elementary laws of probability for continuous variables. |
| 9 | Elementary laws of probability for continuous variables. |
| 10 | Mid-term Exam. |
| 11 | Sampling and statistical inference (Estimation of a mean and proportion). |
| 12 | Sampling and statistical inference (Estimation of a mean and proportion). |
| 13 | Parametric hypothesis testing. (Test of a mean or a proportion) |
| 14 | Non-parametric hypothesis testing. (Test Chi-2 of independence and homogeneity) |
Practice Topics
| Week | Weekly Contents |
|---|
Contribution to Overall Grade
| Number | Contribution | |
|---|---|---|
| Contribution of in-term studies to overall grade | 3 | 50 |
| Contribution of final exam to overall grade | 1 | 50 |
| Toplam | 4 | 100 |
In-Term Studies
| Number | Contribution | |
|---|---|---|
| Assignments | 1 | 15 |
| Presentation | 0 | 0 |
| Midterm Examinations (including preparation) | 1 | 25 |
| Project | 0 | 0 |
| Laboratory | 0 | 0 |
| Other Applications | 0 | 0 |
| Quiz | 1 | 10 |
| Term Paper/ Project | 0 | 0 |
| Portfolio Study | 0 | 0 |
| Reports | 0 | 0 |
| Learning Diary | 0 | 0 |
| Thesis/ Project | 0 | 0 |
| Seminar | 0 | 0 |
| Other | 0 | 0 |
| Toplam | 3 | 50 |
| No | Program Learning Outcomes | Contribution | ||||
|---|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | 5 | ||
| 1 | Will have effective written and oral communication skills in Turkish | |||||
| 2 | Will have a thorough knowledge of at least two foreign languages | |||||
| 3 | Will be informed about art and culture, human rights, social, professional and ethical values, law and legislation, quality standards, and will be aware of their responsibility on these subjects | |||||
| 4 | Will have sufficient knowledge about social sciences, professions and sectors in communication and media, innovative and entrepreneurial practices | |||||
| 5 | Will have the ability to use, in an effective and creative way, the techniques and tools and information technologies necessary for interactive and conventional media, in the context of health and safety in the workplace | |||||
| 6 | Will have the ability to develop documentary and fictional content related to their field for interactive and conventional media; also the ability to produce and manage this content in group | |||||
| 7 | Will have the theoretical knowledge and ability to carry out and share scientific work on communication environments and processes of interactive and conventional media and on the individual and social outcomes of the latter | |||||
| 8 | Will have the knowledge of analysis and modelling techniques to analyse interactive and conventional media and the communication environments and processes | |||||
| 9 | Will have the ability to question and critically analyse developments and problems concerning interactive and conventional media and the communication environments and processes, will be aware of the public interest, social responsibility and the environment, will be sensitive to contemporary world’s and Turkey's current problems; will develop a libertarian, democratic, constructive and problem-solving approach | |||||
| 10 | They are familiar with the historical development processes of electronic, digital media and film; and the current developments in these fields | |||||
| 11 | They learn sociological, cultural and aesthetic approaches in electronic, digital media and film | |||||
| Activities | Number | Period | Total Workload |
|---|---|---|---|
| Class Hours | 14 | 2 | 28 |
| Working Hours out of Class | 7 | 3 | 21 |
| Assignments | 1 | 3 | 3 |
| Midterm Examinations (including preparation) | 1 | 8 | 8 |
| Final Examinations (including preparation) | 1 | 22 | 22 |
| Quiz | 1 | 2 | 2 |
| Total Workload | 84 | ||
| Total Workload / 25 | 3,36 | ||
| Credits ECTS | 3 | ||