NEW MEDIA
Bachelor TR-NQF-HE: Level 6 QF-EHEA: First Cycle EQF-LLL: Level 6

Course Introduction and Application Information

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.

Basic information

Language of instruction: English
Type of course: Non-Departmental Elective
Course Level: Bachelor’s Degree (First Cycle)
Mode of Delivery: Face to face
Course Coordinator : Assist. Prof. EMİNE ZEREN TAŞPINAR
Course Lecturer(s): Assist. Prof. EMİNE ZEREN TAŞPINAR
Assist. Prof. SERKAN YEŞİLYURT
Recommended Optional Program Components: None
Course Objectives: This course builds on ECO2061. The course's main objective is to understand statistical inference and its applications. Topics include sampling distributions, confidence interval estimations, and hypothesis testing with their applications in Excel.

Learning Outcomes

The students who have succeeded in this course;
• acquire the meaning of statistical inference and the scope of its practices.
• estimate a confidence interval for mean, variance, and proportion of one population and two populations, then run these estimations on Excel.
• do hypothesis testing about parameters from one population and two populations, then run these hypothesis testing on Excel.

Course Content

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


Weekly Detailed Course Contents

Week Subject Related Preparation
1) Introduction
2) Distributions of Sample Statistics, NCT6 Sampling from a Population Sampling Distributions of Sample Means
3) Distributions of Sample Statistics, NCT6 Sampling Distributions of Sample Means Sampling Distributions of Sample Proportions
4) Distributions of Sample Statistics, NCT6 Sampling Distributions of Sample Variances Excel applications
5) Confidence Interval Estimation: One Population, NCT7 Properties of Point Estimators Confidence Interval Estimation for the Mean of a Normal Distribution (Population Variance Known)
6) Confidence Interval Estimation: One Population, NCT7 Confidence Interval Estimation for the Mean of a Normal Distribution (Population Variance Unknown) Confidence Interval Estimation for Population Proportion
7) Confidence Interval Estimation: One Population, NCT7 Confidence Interval Estimation for the Variance of a Normal Distribution Sample-Size Determination: Large Populations Excel applications
8) Midterm Exam
9) Confidence Interval Estimation: Further Topics, NCT8 Confidence Interval Estimation of the Difference Between Two Normal Population Means Confidence Interval Estimation of the Difference Between Two Population Proportions Excel applications
10) Hypothesis Tests of a Single Population, NCT9 Concepts of Hypothesis Testing Tests of the Mean of a Normal Distribution:
11) Hypothesis Tests of a Single Population, NCT9 Tests of the Population Proportion Tests of the Variance of a Normal Distribution Excel applications
12) Two Populations Hypothesis Tests, NCT10 Tests of the Difference Between Two Normal Population Means: Tests of the Difference Between Two Normal Population Means, Independent Samples
13) Two Populations Hypothesis Tests, NCT10 Tests of the Difference Between Two Population Proportions Tests of the Equality of the Variances Between Two Normally Distributed Population Excel applications
14) Review

Sources

Course Notes / Textbooks: Statistics for Business and Economics, Paul Newbold, William L. Carlson and Betty Thorne, 9th Edition, Pearson. (NCT)
References: .

Evaluation System

Semester Requirements Number of Activities Level of Contribution
Midterms 1 % 40
Final 1 % 60
Total % 100
PERCENTAGE OF SEMESTER WORK % 40
PERCENTAGE OF FINAL WORK % 60
Total % 100

ECTS / Workload Table

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

Contribution of Learning Outcomes to Programme Outcomes

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.