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 | 3 | 0 | 0 | 3 | 5 |
| Pre-requisite Course(s) |
|---|
| MATH293 Introduction to Probability and Statistics-I |
| Course Language | Turkish |
|---|---|
| Course Type | N/A |
| 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 | Have an advanced level of basic theoretical knowledge on the field of public finance in order to obtain the practical gains. | X | ||||
| 2 | Identify the issues related to the field of public finance by dealing with it within the framework of the methodological approach, and report and evaluate it from an analytical point of view. | X | ||||
| 3 | Understand, interpret and analyse economic and financial events, equipped with knowledge of certain disciplines, especially economics, business and law. | X | ||||
| 4 | Develop policies and strategies for solving the problems by establishing the cause-effect relationship related to fiscal and economic issues through theoretical information and the discussions. | X | ||||
| 5 | Establish the relationship of public financial management and budget theory with public policies, he/she makes strong budget analysis, develop analysis on public finance and makes a link with the policy implementation | X | ||||
| 6 | Understand the tax theory, learning the legal structure, following the legal and financial developments and gaining a professional competence in tax matters effectively develop it. | X | ||||
| 7 | Have knowledge of accounting systems in private and public institutions and businesses, analyze and interpret the financial and financial structure of institutions with the knowledge and competence gained. | X | ||||
| 8 | Gain knowledge of macroeconomic framework and growth theory, including theoretical and country examples, evaluates economic developments from a theoretical perspective. | X | ||||
| 9 | Use foreign language in financial and economic fields, follow international literature, communicate on professional issues. | X | ||||
| 10 | Benefit from technological developments in studies specific to its field by using information technologies, digital developments and common software. | X | ||||
| 11 | Use qualitative and quantitative methods for the analysis of economic, financial, social and institutional events. | X | ||||
| 12 | While fulfilling its academic and professional responsibilities, develop an approach that respects s United Nations sustainable development goals, freedoms, rights of the disadvantaged groups, environment, cultural and moral values. | 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 | ||