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
SAK114BStatisticsCompulsory124
Level of Course Unit
Short 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 to be processed and stored.
Name of Lecturer(s)
Learning Outcomes
1Collect data that will be used in decision making process
2Regularly to provide the appropriate people in business to make this data collected and display this data in various graphical environments
3Research study, you can use to determine which functions belonging to the sample selected from a sample group
4Which 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 of functions
5Determine the relationship between the variables used in the process of decision making
Mode of Delivery
Normal Education
Prerequisites and co-requisities
None
Recommended Optional Programme Components
None
Course Contents
Description of statistics, basic concepts, data types and collection methods, organization of data, measures of central tendency, dispersion measurement, estimation theory, correlation analysis, regression analysis is aimed to teach and indexes
Weekly Detailed Course Contents
WeekTheoreticalPracticeLaboratory
1Definition of statistics, the variable, the main mass, unit, unit types, selection and data collection
2Series in statistics, time, space and disintegration series, the cumulative series, series and this series of compounds shown in a graphical environment
3Sensitive means arithmetic mean, weighted arithmetic mean, geometric mean and the squared mean
4Sensitive means the mode and median
5Change the range, standard deviation, coefficient of variation, variance
6Estimation Theory
7Hypothesis testing to determine the significance level
8Chi-square test
9Chi-square test
10Correlation analysis
11Regression analysis
12Indexes
13The sample application works Work Area Applications
14The sample application works Work Area Applications
Recommended or Required Reading
1. TUİK publications (pdf) 2. Bilimsel Araştırma Sarmalı, Adnan Erkuş, Seçkin Yayıncılık
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 Examination111
Final Examination111
Attending Lectures14228
Self Study14342
Individual Study for Mid term Examination11010
Individual Study for Final Examination12020
Homework14114
TOTAL WORKLOAD (hours)116
Contribution of Learning Outcomes to Programme Outcomes
LO1
LO2
LO3
LO4
LO5
* Contribution Level : 1 Very low 2 Low 3 Medium 4 High 5 Very High