ECTS - Introduction to Probability and Statistics II
Introduction to Probability and Statistics II (MATH294) Course Detail
| Course Name | Course Code | Season | Lecture Hours | Application Hours | Lab Hours | Credit | ECTS |
|---|---|---|---|---|---|---|---|
| Introduction to Probability and Statistics II | MATH294 | 4. Semester | 3 | 0 | 0 | 3 | 5 |
| Pre-requisite Course(s) |
|---|
| MATH293 ve MATH293 |
| Course Language | Turkish |
|---|---|
| Course Type | Compulsory Departmental Courses |
| Course Level | Bachelor’s Degree (First Cycle) |
| Mode of Delivery | Face To Face |
| Learning and Teaching Strategies | Lecture, Question and Answer, Problem Solving. |
| Course Lecturer(s) |
|
| Course Objectives | By providing basic knowledge on the some inferential statistics topics such as sampling and sampling distributions, point and interval estimations, hypothesis testing, simple linear regression and analysis of variance, to enable the students to get objective decision within uncertain environments |
| Course Learning Outcomes |
The students who succeeded in this course;
|
| Course Content | Sampling and sampling distributions, Central Limit Theorem, point estimation, confidence interval, hypothesis testing, regression and correlation, variance analysis. |
Weekly Subjects and Releated Preparation Studies
| Week | Subjects | Preparation |
|---|---|---|
| 1 | Sampling Concept, Parameter and Statistics, Sampling Distributions | pp.207-210 |
| 2 | Central Limit Theorem | pp.211-220 |
| 3 | Some Applications on the Sampling Distribution of Sample Mean and Sample Proportion | pp.228-233 |
| 4 | The Concept of Point and Interval Estimation, Unbiased and Consistent Estimators | pp.241-248 |
| 5 | Confidence Intervals for Population Mean and Population Proportion | pp.249-275 |
| 6 | Confidence Interval for Population Standard Deviation | pp.276-280 |
| 7 | Midterm Exam | |
| 8 | The Concept of Hypothesis Testing, Simple and Composite Hypothesis, α, β Errors, Level of Significance | pp. 300-305 |
| 9 | Hypotheses on Population Mean and Population Proportion | pp.315-317;337-338 |
| 10 | Hypothesis on Population Variance | pp. 346-347 |
| 11 | Hypothesis Based on The Difference Between Two Population Parameters | s. 361-365 |
| 12 | Goodness of Fitting Test , Independency Test, relating to the Structure of Data | pp. 482-488 |
| 13 | Relationship between two variables, Meaning of Covariance, Pearson Correlation Coefficient and its Significance | pp. 521- 525 |
| 14 | Simple Linear Regression Model, Least Squared Method, Analysis of Regression Model, Determination Coefficient | pp. 531-535 |
| 15 | Analysis of Variance and Overview of The Course | pp. 441-445 |
| 16 | Final Exam |
Sources
| Course Book | 1. D.H. Sanders, R. K. Simidt, Statistics, A First Course, 1990 |
|---|---|
| Other Sources | 2. -Elementary Statistics, A step by step Approach, Bluman, 2001 |
Evaluation System
| Requirements | Number | Percentage of Grade |
|---|---|---|
| Attendance/Participation | - | - |
| Laboratory | - | - |
| Application | - | - |
| Field Work | - | - |
| Special Course Internship | - | - |
| Quizzes/Studio Critics | - | - |
| Homework Assignments | 2 | 10 |
| Presentation | - | - |
| Project | - | - |
| Report | - | - |
| Seminar | - | - |
| Midterms Exams/Midterms Jury | 2 | 50 |
| Final Exam/Final Jury | 1 | 40 |
| Toplam | 5 | 100 |
| Percentage of Semester Work | 60 |
|---|---|
| Percentage of Final Work | 40 |
| Total | 100 |
Course Category
| Core Courses | X |
|---|---|
| Major Area Courses | |
| Supportive Courses | |
| Media and Managment Skills Courses | |
| Transferable Skill Courses |
The Relation Between Course Learning Competencies and Program Qualifications
| # | Program Qualifications / Competencies | Level of Contribution | ||||
|---|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | 5 | ||
| 1 | Acquiring the skills of understanding, explaining, and using the fundamental concepts and methods of economics | X | ||||
| 2 | Acquiring the skills of macro level economic analysis | X | ||||
| 3 | Acquiring the skills of micro level economic analysis | X | ||||
| 4 | Understanding the formulation and implementation of economic policies at the local, national, regional, and/or global level | X | ||||
| 5 | Learning different approaches on economic and related issues | X | ||||
| 6 | Acquiring the quantitative and/or qualitative techniques in economic analysis | X | ||||
| 7 | Improving the ability to use the modern software, hardware and/or technological devices | X | ||||
| 8 | Developing intra-disciplinary and inter-disciplinary team work skills | X | ||||
| 9 | Acquiring an open-minded behavior through encouraging critical analysis, discussions, and/or life-long learning | X | ||||
| 10 | Adopting work ethic and social responsibility | X | ||||
| 11 | Developing the skills of communication. | X | ||||
| 12 | Improving the ability to effectively implement the knowledge and skills in at least one of the following areas: economic policy, public policy, international economic relations, industrial relations, monetary and financial affairs. | X | ||||
ECTS/Workload Table
| Activities | Number | Duration (Hours) | Total Workload |
|---|---|---|---|
| Course Hours (Including Exam Week: 16 x Total Hours) | |||
| Laboratory | |||
| Application | |||
| Special Course Internship | |||
| Field Work | |||
| Study Hours Out of Class | 14 | 3 | 42 |
| Presentation/Seminar Prepration | |||
| Project | |||
| Report | |||
| Homework Assignments | |||
| Quizzes/Studio Critics | |||
| Prepration of Midterm Exams/Midterm Jury | 2 | 10 | 20 |
| Prepration of Final Exams/Final Jury | 1 | 15 | 15 |
| Total Workload | 77 | ||