Bayburt University Lifelong Learning Programme

Description of Individual Course Units

Course Unit Code	Course Unit Title	Type of Course Unit	Year of Study	Semester	Number of ECTS Credits
SY202B	Statistics II	Compulsory	2	4	4

Level of Course Unit

First Cycle

Objectives of the Course

The general laws that determine events in the light of coincidence are to uncover the general tendency, to search for the main causes, to find the relationships and connections between the events, thus helping the actions to be taken in the predictions, predictions and decisions to be made in various branches of management, science and technology.

Name of Lecturer(s)

Dr. Öğr. Üyesi Sefa Emre YILMAZEL

Learning Outcomes

1	Learn to set confidence intervals for averages and ratios.
2	The main mass is able to generalize the results obtained by applying statistical methods on the samples taken from the population and the statistics obtained from one sample show that the principal mass parameters are point estimates
3	Learn to build a hypothesis about a topic and test the hypothesis.
4	Learn to establish the model of the relationship between variables.
5	They learn to find the direction and degree of the relationship between variables.

Mode of Delivery

Second Education

Prerequisites and co-requisities

None

Recommended Optional Programme Components

None

Course Contents

Sampling theory, statistical estimation, Statistical decision making, Hypothesis testing, Small sampling, Time series analysis, Least squares method, Indexes, Regression and correlation analysis, Chi-square test.

Weekly Detailed Course Contents

Week	Theoretical	Practice	Laboratory
1	ESTIMATION THEORY (RELIABILITY INTERVALS)
2	RELIABILITY RANGE FOR DIFFERENCES BETWEEN THE RATIOS
3	HYPOTHESIS TESTS
4	HYPOTHESIS TEST WITH Z TEST
5	HYPOTHESIS TEST WITH t TEST
6	VARIANCE ANALYSIS (F TEST)
7	Kİ SQUARE TEST
8	REGRESSION ANALYSIS + MIDDLE EAST
9	Kİ SQUARE FITNESS TEST
10	MOST VARIABLE REGRESSION ANALYSIS
11	NONLINEAR REGRESSION
12	TEST OF THE REGRESSION MODEL
13	CORRELATION ANALYSIS
14	INDICES
15	Final Exams
16

Recommended or Required Reading

Uygulamalı İstatistik-II (Prof.Dr. Alaaddin BAŞAR ve Prof.Dr. Erkan OKTAY) Bilgisayar Uygulamalı İstatistik-II (Prof.Dr. Nejmi GÜRSAKAL), İstatistik Yöntemler(Prof.Dr. Murat KARAGÖZ)

Planned Learning Activities and Teaching Methods

Assessment Methods and Criteria

Term (or Year) Learning Activities	Quantity	Weight
Midterm Examination	1	100
SUM		100
End Of Term (or Year) Learning Activities	Quantity	Weight
Final Examination	1	100
SUM		100
Term (or Year) Learning Activities		40
End Of Term (or Year) Learning Activities		60
SUM		100

Language of Instruction

Turkish

Work Placement(s)

None

Workload Calculation

Activities	Number	Time (hours)	Total Work Load (hours)
Midterm Examination	1	1	1
Final Examination	1	2	2
Attending Lectures	14	3	42
Question-Answer	14	2	28
Self Study	14	2	28
Individual Study for Mid term Examination	1	6	6
Individual Study for Final Examination	1	8	8
TOTAL WORKLOAD (hours)			115

Contribution of Learning Outcomes to Programme Outcomes

	PO 1	PO 2	PO 3	PO 4	PO 5	PO 6	PO 7	PO 8	PO 9	PO 10	PO 11	PO 12	PO 13	PO 14	PO 15
LO1	1	2	1	2	3	1	2			4	2	1	2	3	1
LO2	1	2	1	2	3	1	2			4	2	1	2	3	1
LO3	1	2	1	2	3	1	2			4	2	1	2	3	1
LO4	1	2	1	2	3	1	2			4	2	1	2	3	1
LO5	1	2	1	2	3	1	2			4	2	1	2	3	1

* Contribution Level : 1 Very low 2 Low 3 Medium 4 High 5 Very High