1. SHORT CYCLE - ASSOCIATE'S DEGREE
  2. ÇİVRİL ATASAY KAMER VOCATIONAL SCHOOL
  3. FOREIGN TRADE DEPARTMENT
  4. 318 FOREIGN TRADE (Evening Classes)
Course Information Course Learning Outcomes Course's Contribution To Program ECTS Workload Course Details
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COURSE INFORMATION
Course CodeCourse TitleL+P HourSemesterECTS
CDTS 109STATISTICS2 + 01st Semester2

COURSE DESCRIPTION
Course Level Associate's Degree
Course Type Elective
Course Objective The aim of the course, data collection, analysis and interpretation.
Course Content Basic Concepts, Data Collection, Preparation and Submission, Measures of Central Tendency and Dispersion, indices, Probability and Random Variables, Regression and Correlation.
Prerequisites No the prerequisite of lesson.
Corequisite No the corequisite of lesson.
Mode of Delivery Face to Face

COURSE LEARNING OUTCOMES
1Statistical information may use basic math events
2May use them to interpret statistical data

COURSE'S CONTRIBUTION TO PROGRAM
PO 01PO 02PO 03PO 04PO 05PO 06PO 07PO 08PO 09PO 10PO 11PO 12PO 13PO 14
LO 001        4 5   
LO 002        5 4   
Sub Total        9 9   
Contribution00000000505000

ECTS ALLOCATED BASED ON STUDENT WORKLOAD BY THE COURSE DESCRIPTION
ActivitiesQuantityDuration (Hour)Total Work Load (Hour)
Course Duration (14 weeks/theoric+practical)14228
Hours for off-the-classroom study (Pre-study, practice)9218
Mid-terms133
Final examination133
Total Work Load

ECTS Credit of the Course





52

2
COURSE DETAILS
 Select Year   


 Course TermNoInstructors
Details 2020-2021 Fall1TAHSİN AVCI


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Course Details
Course Code Course Title L+P Hour Course Code Language Of Instruction Course Semester
CDTS 109 STATISTICS 2 + 0 1 Turkish 2020-2021 Fall
Course Coordinator  E-Mail  Phone Number  Course Location Attendance
Lecturer TAHSİN AVCI tavci@pau.edu.tr ÇMYO A0008 %70
Goals The aim of the course, data collection, analysis and interpretation.
Content Basic Concepts, Data Collection, Preparation and Submission, Measures of Central Tendency and Dispersion, indices, Probability and Random Variables, Regression and Correlation.
Topics
WeeksTopics
1 Statistics means that the definition, history and the importance of
2 Classification of data, classification, application, data grouping and grouping techniques, a combination of skills,
3 The data show
4 averages
5 averages
6 Shape variability and the division
7
8 probability
9 probability
10 probability distributions
11 Estimation Theory
12 hypothesis Testing
13 Ki-square test and analysis of variance
14 Regression and Correlation Analysis
Materials
Materials are not specified.
Resources
ResourcesResources Language
Sosyal Bilimlerde İStatistik Fahamet AkınTürkçe
Course Assessment
Assesment MethodsPercentage (%)Assesment Methods Title
Final Exam60Final Exam
Midterm Exam40Midterm Exam
L+P: Lecture and Practice
PQ: Program Learning Outcomes
LO: Course Learning Outcomes