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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 apply theoretical concepts related to mass communication, consumer behavior, psychology, persuasion,sociology, marketing, and other related fields to understand how advertising and brand communication works in a free-market economy.	2
2)	To be able to critically discuss and interpret theories, concepts, methods, tools and ideas in the field of advertising.	2
3)	To be able to research, create, design, write, and present an advertising campaign and brand strategies of their own creation and compete for an account as they would at an advertising agency.	2
4)	To be able to analyze primary and secondary research data for a variety of products and services.	2
5)	To be able to develop an understanding of the history of advertising as it relates to the emergence of mass media outlets and the importance of advertising in the marketplace.	2
6)	To be able to follow developments, techniques, methods, as well as research in advertising field; and to be able to communicate with international colleagues in a foreign language. (“European Language Portfolio Global Scale”, Level B1)	2
7)	To be able to take responsibility in an individual capacity or as a team in generating solutions to unexpected problems that arise during implementation process in the Advertising field.	3
8)	To be able to understand how advertising works in a global economy, taking into account cultural, societal, political, and economic differences that exist across countries and cultures.	2
9)	To be able to approach the dynamics of the field with an integrated perspective, with creative and critical thinking, develop original and creative strategies.	2
10)	To be able to to create strategic advertisements for print, broadcast, online and other media, as well as how to integrate a campaign idea across several media categories in a culturally diverse marketplace.	2
11)	To be able to use computer software required by the discipline and to possess advanced-level computing and IT skills. (“European Computer Driving Licence”, Advanced Level)	2
12)	To be able to identify and meet the demands of learning requirements.	2
13)	To be able to develop an understanding and appreciation of the core ethical principles of the advertising profession.	2