STATISTICAL ANALYSIS

END214

Course Code: END214
Semester: Fourth Term (Spring)
Theory+Practice: 3 + 1
ECTS: 5

Course Type

Compulsory Course

Course Level

Bachelor's Degree

Year of Study

Semester

Fourth Term (Spring)

ECTS

Name of Lecturer(s)

Learning Outcomes

At the end of this course, the students;

Have the ability of statistical data classifying, processing, summarizing and interpreting.
Have the ability of information generation, estimation and report.
Have the ability of using and interpreting sampling distributions in confidence intervals and hypothesis tests.
Have the ability to determine the correlations between variables in the research studies.

Mode of Delivery

Face to face

Prerequisites

Yes(END210)

Recommended Optional Programme Components

None

Course Description

Sampling distributions, statistical estimation (point estimation and confidence intervals), hypothesis testing, regression analysis and ANOVA approach, introduction to multiple regression.

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

(1) Walpole R.E., Myers R.H. Myers Sh. L. Ye K. Probability and Statistics or Engineers and Scientists Prentice Hall. 7th edition;
(2) Akdeniz F. "Olasılık ve İstatistik", Nobel Kitabevi, 13. Baskı, 2007.
(3) Erbaş S. O. "Olasılık ve İstatistik", Gazi Kitabevi.

Planned Learning Activities and Teaching Methods

Lecture
Discussion
Questions/Answers
Project
Other

Assessment Methods and Criteria

	Quantity	Percentage (%)
Mid-term	1	30
Assignment	2	4
Quiz	4	20
Project	1	6
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	4	4	16
Individual or group work	14	1	14
Preparation for Final exam	1	10	10
Course hours	14	4	56
Preparation for Midterm exam	1	10	10
Laboratory (including preparation)
Final exam	1	2	2
Homework	3	10	30
Total Work Load			140
Total Work Load / 30 (h)			4.66
ECTS Credit of the Course			5

Language of Instruction

Turkish

Work Placement(s)

Programme Qualifications / Learning Outcomes

	LO1	LO2	LO3	LO4
K1			X	X
K2	X	X	X	X
K3
K4	X
K5	X	X	X	X
K6
K7
K8
K9
K10
K11