BAYBURT University Information Package / Course Catalogue

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Description of Individual Course Units
Course Unit CodeCourse Unit TitleType of Course UnitYear of StudySemesterNumber of ECTS Credits
KY212.4B2Statistics IIElective244
Level of Course Unit
First Cycle
Objectives of the Course
The objective of this course is to help students by teaching statistical inference methods used in decision making during professional life and to help them develop their scientific thinking.
Name of Lecturer(s)
Learning Outcomes
1 define and classificate different forecasting and hypothesis testing methods.
2explain forecasting and hypothesis testing methods.
3apply forecast and test methods to sample data cases accurately and to argues.
4 determine method that appropriate characteristics of data to forecast and test hypotheses.
5comment characteristics of the mass.
Mode of Delivery
Normal Education
Prerequisites and co-requisities
None
Recommended Optional Programme Components
None
Course Contents
Statistical estimation, hypothesis testing, chi-square test, analysis of correlation and regression, analysis of variance and indexes.
Weekly Detailed Course Contents
WeekTheoreticalPracticeLaboratory
1Meaning and role of statistics
2Statistical presentation of data
3Measures of location
4Measures of location
5Measures of variability
6Measures of variability
7probability
8
9
10
11
12
13
14
15
16
Recommended or Required Reading
Planned Learning Activities and Teaching Methods
Assessment Methods and Criteria
Term (or Year) Learning ActivitiesQuantityWeight
Midterm Examination1100
SUM100
End Of Term (or Year) Learning ActivitiesQuantityWeight
Final Examination1100
SUM100
Term (or Year) Learning Activities40
End Of Term (or Year) Learning Activities60
SUM100
Language of Instruction
Turkish
Work Placement(s)
None
Workload Calculation
ActivitiesNumberTime (hours)Total Work Load (hours)
Midterm Examination15050
Final Examination17070
TOTAL WORKLOAD (hours)120
Contribution of Learning Outcomes to Programme Outcomes
PO
1
PO
2
PO
3
PO
4
PO
5
PO
6
PO
7
PO
8
LO134333422
LO234333432
LO334343432
LO434343432
LO534343432
* Contribution Level : 1 Very low 2 Low 3 Medium 4 High 5 Very High