NEW MEDIA | |||||
Bachelor | TR-NQF-HE: Level 6 | QF-EHEA: First Cycle | EQF-LLL: Level 6 |
Course Code | Course Name | Semester | Theoretical | Practical | Credit | ECTS |
ECO2062 | Applied Statistics | Spring | 3 | 0 | 3 | 6 |
This catalog is for information purposes. Course status is determined by the relevant department at the beginning of semester. |
Language of instruction: | English |
Type of course: | Non-Departmental Elective |
Course Level: | Bachelor’s Degree (First Cycle) |
Mode of Delivery: | Hybrid |
Course Coordinator : | Dr. Öğr. Üyesi SERKAN YEŞİLYURT |
Course Lecturer(s): |
Dr. Öğr. Üyesi AYSE ERTUĞRUL BAYKAN Prof. Dr. İPEK ALTINBAŞAK FARİNA |
Recommended Optional Program Components: | None |
Course Objectives: | To apply and interpret the results of a variety of statistical techniques from both descriptive and inferential statistics |
The students who have succeeded in this course; 1. The concept of the sampling distribution and to compute probabilities related to the sample mean and the sample proportion 2. To construct and interpret confidence interval estimates for the mean and the proportion 3. The basic principles of hypothesis testing and how to use hypothesis testing to test a mean or proportion 4. How to use hypothesis testing for comparing the difference between the means and proportion of populations 5. How to use one-way and two-way analysis of variance to test for differences among the means of several populations 6. How and when to use the chi-square test for contingency tables and how to use the chi-square test for a variance or standard deviation 7. How to use regression analysis to investigate the relationship between variables. |
Sampling and Sampling Distributions Sampling Distribution Properties Point and Interval Estimates Confidence Interval for population mean Confidence Intervals for the Population Proportion, π Fundamentals of Hypothesis Testing: One-Sample Tests Hypothesis Testing for Mean and Proportion Two-Sample Tests for Mean Two-Sample Tests for Proportion One-Way Analysis of Variance Two-Way Analysis of Variance Chi-Square Tests and Nonparametric Tests Introduction to Simple Linear Regression |
Week | Subject | Related Preparation |
1) | Sampling and Sampling Distributions | |
2) | Point and Interval Estimates | |
3) | Sampling Distribution Properties | |
4) | Confidence Interval for population mean | |
5) | Confidence Intervals for the Population Proportion, π | |
6) | Fundamentals of Hypothesis Testing: One-Sample Tests | |
7) | Hypothesis Testing for Mean and Proportion | |
8) | Review | |
9) | Two-Sample Tests for Mean | |
10) | Two-Sample Tests for Proportion | |
11) | Analysis of Variance | |
12) | Chi-Square Tests and Nonparametric Tests | |
13) | Introduction to Simple Linear Regression | |
14) | Review |
Course Notes / Textbooks: | Basic Business Statistics Concepts and Applications Mark L. Brenson, David M. Levine, Timothy C. Krehbiel, Pearson Education Prentice Hal. |
References: | . |
Semester Requirements | Number of Activities | Level of Contribution |
Homework Assignments | 4 | % 20 |
Midterms | 1 | % 35 |
Final | 1 | % 45 |
Total | % 100 | |
PERCENTAGE OF SEMESTER WORK | % 55 | |
PERCENTAGE OF FINAL WORK | % 45 | |
Total | % 100 |
Activities | Number of Activities | Duration (Hours) | Workload |
Course Hours | 16 | 3 | 48 |
Study Hours Out of Class | 14 | 7 | 98 |
Midterms | 1 | 2 | 2 |
Final | 1 | 2 | 2 |
Total Workload | 150 |
No Effect | 1 Lowest | 2 Low | 3 Average | 4 High | 5 Highest |
Program Outcomes | Level of Contribution | |
1) | To be able to critically interpret and discuss the theories, the concepts, the traditions, and the developments in the history of thought which are fundamental for the field of new media, journalism and communication. | |
2) | To be able to attain written, oral and visual knowledge about technical equipment and software used in the process of news and the content production in new media, and to be able to acquire effective abilities to use them on a professional level. | |
3) | To be able to get information about the institutional agents and generally about the sector operating in the field of new media, journalism and communication, and to be able to critically evaluate them. | |
4) | To be able to comprehend the reactions of the readers, the listeners, the audiences and the users to the changing roles of media environments, and to be able to provide and circulate an original contents for them and to predict future trends. | |
5) | To be able to apprehend the basic theories, the concepts and the thoughts related to neighbouring fields of new media and journalism in a critical manner. | |
6) | To be able to grasp global and technological changes in the field of communication, and the relations due to with their effects on the local agents. | |
7) | To be able to develop skills on gathering necessary data by using scientific methods, analyzing and circulating them in order to produce content. | |
8) | To be able to develop acquired knowledge, skills and competence upon social aims by being legally and ethically responsible for a lifetime, and to be able to use them in order to provide social benefit. | |
9) | To be able to operate collaborative projects with national/international colleagues in the field of new media, journalism and communication. | |
10) | To be able to improve skills on creating works in various formats and which are qualified to be published on the prestigious national and international channels. |