Ordu 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
GSYB4092013361	STATISTICS	Compulsory	4	7	3

Level of Course Unit

First Cycle

Objectives of the Course

Both companies, as well as employees in various organizations have felt the need to take the best decision that the data, collect, acquire the ability.

Name of Lecturer(s)

Yrd. Doç. Dr. Erdal ARI

Learning Outcomes

1	Collect data that will be used in decision making process.
2	Regularly to provide the appropriate people in business to make this data collected, and these data show various graphical environments.
3	Using measures of central tendency and dispersion, and how the data group is concentrated around the distribution function which shows the values of the relevant determinations made.
4	Sample selected from a group that belongs to the research to determine which functions you can use research.
5	Which of these functions are selected as belonging to the survey, in which case it is more appropriate to use and to determine the relative advantages.

Mode of Delivery

Evening Education

Prerequisites and co-requisities

None

Recommended Optional Programme Components

None

Course Contents

Definition of statistics, basic concepts, data and collection methods, organization of data, measures of central tendency, measures of dispersion.

Weekly Detailed Course Contents

Week	Theoretical	Practice	Laboratory
1	Definition of statistics, the variable, the main mass, unit, unit types, selection and data collection.
2	Series of statistics, time, space, and disintegration series, the cumulative series, series and this series of compounds shown in a graphical environment.
3	Sensitive means arithmetic mean, weighted arithmetic mean, geometric mean and the squared mean.
4	Sensitive means the mode and median.
5	Change the range, standard deviation, coefficient of variation, variance.
6	Prediction theory.
7	To determine the significance level of hypothesis tests.
8	Midterm exam.
9	The sample application works.
10	Chi-square test.
11	Correlation analysis.
12	Regression analysis.
13	Independent samples T-test and paired samples T-test.
14	One way ANOVA analysis.
15	Nonparameterik tests.
16	Final exam.

Recommended or Required Reading

İstatistik(2006), Anadolu Üniversitesi AÖF Yayınları. 2000 Prof.Dr. Necmi Gürsakal, İstatistiğin ABC'si. 2002 Prof.Dr. Burhan Çil, İstatistik, Detay yayıncılık.

Planned Learning Activities and Teaching Methods

Assessment Methods and Criteria

Term (or Year) Learning Activities	Quantity	Weight
SUM		0
End Of Term (or Year) Learning Activities	Quantity	Weight
SUM		0
Yarıyıl (Yıl) İçi Etkinlikleri		40
Yarıyıl (Yıl) Sonu Etkinlikleri		60
SUM		100

Language of Instruction

Turkish

Work Placement(s)

None

Workload Calculation

Activities	Number	Time (hours)	Total Work Load (hours)
Midterm Examination	1	2	2
Final Examination	1	2	2
Self Study	22	2	44
Individual Study for Final Examination	21	2	42
TOTAL WORKLOAD (hours)			90

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	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4
LO2	5	5	5	5	5	5	5	5	5	5	5	5	5	5	5
LO3	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4
LO4	5	5	5	5	5	5	5	5	5	5	5	5	5	5	5
LO5	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4

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