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	4. Semester	3	0	0	3	5

Pre-requisite Course(s)
MATH291

Course Language	English
Course Type	Service Courses Taken From Other Departments
Course Level	Bachelor’s Degree (First Cycle)
Mode of Delivery	Face To Face
Learning and Teaching Strategies	Lecture, Question and Answer, Problem Solving.
Course Coordinator
Course Lecturer(s)
Course Assistants
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; Upon completing the course, students are expected to; 1) have knowledge on the sampling and special sampling distributions, 2) be able to estimate the unknown population parameters by point and , 3) interval estimation techniques, 4) be able to test the hypothesis based on population parameters, 5) be able to use the goodness of fitting and independency tests on the data structure, 6) be able to apply simple linear regression and correlation analysis, 7) be able to use one way analysis of variance
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
Major Area Courses
Supportive Courses	X
Media and Managment Skills Courses
Transferable Skill Courses

The Relation Between Course Learning Competencies and Program Qualifications

#	Program Qualifications / Competencies	Level of Contribution
#	Program Qualifications / Competencies	1	2	3	4	5
1	Acquiring the skills of understanding, explaining, and using the fundamental concepts and methods of economics
2	Acquiring the skills of macro level economic analysis
3	Acquiring the skills of micro level economic analysis
4	Understanding the formulation and implementation of economic policies at the local, national, regional, and/or global level
5	Learning different approaches on economic and related issues
6	Acquiring the quantitative and/or qualitative techniques in economic analysis
7	Improving the ability to use the modern software, hardware and/or technological devices
8	Developing intra-disciplinary and inter-disciplinary team work skills
9	Acquiring an open-minded behavior through encouraging critical analysis, discussions, and/or life-long learning
10	Adopting work ethic and social responsibility
11	Developing the skills of communication.
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.

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