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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 prepare students to become communication professionals by focusing on strategic thinking, professional writing, ethical practices, and the innovative use of both traditional and new media	2
2)	To be able to explain and define problems related to the relationship between facts and phenomena in areas such as Advertising, Persuasive Communication, and Brand Management
3)	To critically discuss and interpret theories, concepts, methods, tools, and ideas in the field of advertising
4)	To be able to follow and interpret innovations in the field of advertising
5)	To demonstrate a scientific perspective in line with the topics they are curious about in the field.
6)	To address and solve the needs and problems of the field through the developed scientific perspective
7)	To recognize and understand all the dynamics within the field of advertising
8)	To analyze and develop solutions to problems encountered in the practical field of advertising