ECTS - Probability and Statistics II
Probability and Statistics II (MATH292) Course Detail
| Course Name | Course Code | Season | Lecture Hours | Application Hours | Lab Hours | Credit | ECTS |
|---|---|---|---|---|---|---|---|
| Probability and Statistics II | MATH292 | General Elective | 3 | 0 | 0 | 3 | 5 |
| Pre-requisite Course(s) |
|---|
| MATH291 |
| Course Language | English |
|---|---|
| Course Type | Elective 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 | Applications on the Sampling Distribution of Sample Mean and Sample Proportion | pp. 225-230 |
| 4 | The Concept of Point and Interval Estimation, Unbiased and Consistent Estimators | pp. 240-242 |
| 5 | Confidence Intervals for Population Mean and Population Proportion | pp. 246-250 |
| 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, Significance Level | pp.298-308 |
| 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 | pp. 361-365 |
| 12 | Goodness of Fitting Test and Independency Test | pp. 482-488 |
| 13 | Relationship between two variables, Meaning of Covariance, Perason Correlation Coefficient and its Significance test | 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 |
Sources
| Course Book | 1. D.H. Sanders, R. K. Simidt, Statistics, A First Course, 1990 Other Sources |
|---|---|
| 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 | Having the conceptual and applied knowledge about the basic functions of the business and gaining the ability to use the knowledge | |||||
| 2 | To be able to diagnose the problems related to the field of business, to use scientific approaches effectively in the solution of problems and decision-making processes. | |||||
| 3 | To be able to reveal and analyze the environmental, social, global effects and legal consequences of the applications related to the basic functions of the business. | |||||
| 4 | To be able to analyze information and reports that concern businesses at the national, regional and global level, to set strategic goals according to the results obtained | |||||
| 5 | Gain the ability to use, report and interpret Business Information Systems and sub-modules required by business management | |||||
| 6 | Planning necessary activities such as starting a new business with innovative and creative thinking and taking risks for the sustainability of the business, finding resources, making market analysis, preparing a business plan, and using the learned information in this direction. | |||||
| 7 | Being aware of the fact that the research and learning process continues throughout life, to be able to follow the scientific and technological developments related to the business, to support oneself and the organization in innovation and continuous development. | |||||
| 8 | To have the necessary leadership and managerial skills to achieve business objectives effectively and efficiently. | |||||
| 9 | To be able to conduct scientific research in the field of business and report the results of the research to be used in managerial decision-making processes. | |||||
| 10 | To be able to transfer information about the field of business using effective verbal, written and visual communication methods in the language of learning and professional English | |||||
| 11 | To be aware of professional ethics, environmental awareness, sustainability, social responsibility, cultural, social and universal values | |||||
| 12 | Working effectively with different disciplines or multicultural teams, taking responsibility, making risk analysis, adapting to change, critical thinking and using initiative in problem solving | |||||
| 13 | . | |||||
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 | ||