TÜRKÇE
ENGLISH
Information
| Unit | FACULTY OF ECONOMICS AND ADMINISTRATIVE SCIENCES |
| FINANCE PR. | |
| Code | EKMZ208 |
| Name | Statistics II |
| Term | 2018-2019 Academic Year |
| Semester | 4. Semester |
| Duration (T+A) | 3-0 (T-A) (17 Week) |
| ECTS | 5 ECTS |
| National Credit | 3 National Credit |
| Teaching Language | Türkçe |
| Level | Lisans Dersi |
| Type | Normal |
| Label | C Compulsory |
| Mode of study | Yüz Yüze Öğretim |
| Catalog Information Coordinator | Prof. Dr. EBRU ÖZGÜR GÜLER |
| Course Instructor |
Prof. Dr. EBRU ÖZGÜR GÜLER
(Bahar)
(A Group)
(Ins. in Charge)
|
Course Goal / Objective
The objective of this course is to bring the knowledge about estimation of population parameters using a sample data and how to make inferences about population parameters.
Course Content
Sampling distributions, hypothesis tests and confidence intervals about single and two population, chi-square test of independence and simple linear regression model will be introduced.
Course Precondition
Resources
Notes
Course Learning Outcomes
| Order | Course Learning Outcomes |
|---|---|
| LO01 | Describes the sampling distributions |
| LO02 | Forms the statistical hypothesis |
| LO03 | Defines estimators and differentiates their properties |
| LO04 | Differentiates types of error in hypothesis testing |
| LO05 | Tests hypothesis about single population parameter |
| LO06 | Tests hypothesis about two population parameters |
| LO07 | Forms a confidence interval about single population parameter |
| LO08 | Forms a confidence interval about the difference between two population parameters |
| LO09 | Tests the independence of categorical variables using chi-square test |
| LO10 | Finds and interprets the correlation coefficient between two continous variables |
| LO11 | Estimates and interpretes the parameters of simple linear regression model |
Relation with Program Learning Outcome
| Order | Type | Program Learning Outcomes | Level |
|---|---|---|---|
| PLO01 | - | Having basic conceptual knowledge about economics and public finance and educating students who are able to analyze economic events in the light of this information, to think analytically, to work in cooperation and harmony, and to be able to do business. | 3 |
| PLO02 | - | Collecting and commenting data from different sources using contemporary communication tools, methods and processes | 5 |
| PLO03 | - | Having basic computer skills and knowledge, the vocational field uses this information | 2 |
| PLO04 | - | Perform numerical and statistical data aggregation, analysis and interpretation | 5 |
| PLO05 | - | Individually and / or in a team, take responsibility, leadership, and effectively works | 0 |
| PLO06 | - | An area he does not research exploits from different sources in the framework of academic rules, synthesizes the information he obtains and effectively presents it | 2 |
| PLO07 | - | Awareness of the necessity of life-long learning, it follows up-to-date developments in the field and constantly innovates | 0 |
| PLO08 | - | Synthesize and effectively deliver information from an unfamiliar field to other sources in the framework of academic rules | 2 |
| PLO09 | - | Turkish and at least one foreign language is used in accordance with the needs of academic life and business life | 0 |
| PLO10 | - | Uses Turkish in accordance with the needs of academic life and business life | 0 |
| PLO11 | - | He / she correctly understands the feelings, thoughts and behaviors of the people concerned and expresses himself / herself in writing and orally | 0 |
| PLO12 | - | It has social, scientific and ethical values in the stages of collecting, interpreting and announcing the data related to the scientific fields in which statistics are used. | 5 |
| PLO13 | - | Aware of and act in accordance with social, scientific and professional ethical values | 0 |
| PLO14 | - | Question traditional approaches, practices and methods, develop new working methods where necessary and | 3 |
Week Plan
| Week | Topic | Preparation | Methods |
|---|---|---|---|
| 1 | Sampling distributions | Refer to textbook | |
| 2 | Point estimation and properties of estimators | Refer to textbook | |
| 3 | Testing hypothesis and types of error | Refer to textbook | |
| 4 | Point estimation and properties of estimators | Refer to textbook | |
| 5 | Hypothesis tests about single population parameters | Refer to textbook | |
| 6 | Hypothesis tests about two population parameters | Refer to textbook | |
| 7 | Hypothesis tests about two population parameters | Refer to textbook | |
| 8 | Mid-Term Exam | General review for the midterm exam | |
| 9 | Confidence intervals about single population parameters | Refer to textbook | |
| 10 | Confidence intervals about single population parameters | Refer to textbook | |
| 11 | Confidence intervals about two population parameters | Refer to textbook | |
| 12 | Confidence intervals about two population parameters | Refer to textbook | |
| 13 | Contingency tables and chi-square test of independence | Refer to textbook | |
| 14 | Correlation and simple linear regression analysis | Refer to textbook | |
| 15 | Correlation and simple linear regression analysis | Refer to textbook | |
| 16 | Term Exams | General review for the final exam | |
| 17 | Term Exams | General review for the final exam |
Assessment (Exam) Methods and Criteria
| Assessment Type | Midterm / Year Impact | End of Term / End of Year Impact |
|---|---|---|
| 1. Midterm Exam | 100 | 40 |
| General Assessment | ||
| Midterm / Year Total | 100 | 40 |
| 1. Final Exam | - | 60 |
| Grand Total | - | 100 |
Student Workload - ECTS
| Works | Number | Time (Hour) | Workload (Hour) |
|---|---|---|---|
| Course Related Works | |||
| Class Time (Exam weeks are excluded) | 14 | 3 | 42 |
| Out of Class Study (Preliminary Work, Practice) | 14 | 3 | 42 |
| Assesment Related Works | |||
| Homeworks, Projects, Others | 0 | 0 | 0 |
| Mid-term Exams (Written, Oral, etc.) | 1 | 12 | 12 |
| Final Exam | 1 | 18 | 18 |
| Total Workload (Hour) | 114 | ||
| Total Workload / 25 (h) | 4,56 | ||
| ECTS | 5 ECTS | ||