STATISTICAL ANALYSIS

END553

Course Type

Elective Course

Course Level

Master's Degree With Thesis

Year of Study

Semester

ECTS

Name of Lecturer(s)

Learning Outcomes

At the end of this course, the students;

Gain an ability to understand the basic methodology of statistics
Understand the derivation of the basic properties of the probability distributions depending upon the knowledge and skills given by the prerequisite mathematics and introductory statistics courses.

Mode of Delivery

Face to face

Prerequisites

Recommended Optional Programme Components

None

Course Description

Course Contents

WEEK	TOPICS
1^st Week	Random Sampling, Some Important Statistics
2^nd Week	Concept of Sampling distribution, Sampling Distributions of Means and S2
3^rd Week	t-Distribution, F-Distribution
4^th Week	One- and Two-Sample Estimation Problems (for a Mean and Mean Differences)
5^th Week	One- and Two-Sample Estimation Problems (for a Proportion and Ratio of Proportions)
6^th Week	One- and Two- Sample Hypothesis Testing (for a Variance and the Ratio of Variances), Maximum Likelihood Estimation
7^th Week	Hypothesis Testing, Type I and II Errors. Usage of P-Value,
8^th Week	Midterm
9^th Week	One- and Two- Sample Hypothesis Testing (for a Mean and Mean Differences)
10^th Week	One- and Two-Sample Hypothesis Testing (for a Variance and the Ratio of Variances)
11^th Week	Goodness of fit, Independence and Homogeneity Tests
12^th Week	Simple Linear Regression and Correlation
13^th Week	Analysis of Variance Application Lack-of-fit Test
14^th Week	Introduction to Multivariate Regression Analysis

Recommended or Required Reading

Planned Learning Activities and Teaching Methods

Assessment Methods and Criteria

	Quantity	Percentage (%)
Mid-term	1	30
Project	1	30
Total(%)		60
Contribution of In-term Studies to Overall Grade(%)		60
Contribution of Final Examination to Overall Grade(%)		40
Total(%)		100

ECTS Allocated Based on Student Workload

Activities	Quantity	Duration (Hour)	Total Workload (Hour)
Midterm exam	1	2	2
Preparation for Quiz
Individual or group work	14	14	196
Preparation for Final exam	1	25	25
Course hours	14	3	42
Preparation for Midterm exam	1	25	25
Laboratory (including preparation)
Final exam	1	2	2
Homework	1	14	14
Total Work Load			306
Total Work Load / 30 (h)			10.2
ECTS Credit of the Course			10

Language of Instruction

Turkish

Work Placement(s)