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