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Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS UAT 2003 APPLIED STATITTICS -I COMPULSORY 3 0 0 3

Offered By

International Trade

Level of Course Unit

First Cycle Programmes (Bachelor's Degree)

Course Coordinator

ASSOCIATE PROFESSOR MEHMET AKSARAYLI

Offered to

International Trade

Course Objective

The main objective of the course is to give the student an elementary introduction to the practice of statistics. This course will give insight into how an analyst gathers, summarizes, and draws conclusions from economical or business data. At the end of the course, the student should be a critical consumer of this information.

Learning Outcomes of the Course Unit

1   To be able to understand the relation of science and statistics 2   To be able to use measures of central tendency and variation 3   To be able to present frequencies with graphs 4   To be able to classify variables with regard to their features 5   To be able to identify the shape of the distribution by using the measures of central tendency 6   To be able to define the basic concepts of statistics 7   To be able to show the relations between distributions

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description 1 Introduction to course Nature of Data and Statistics 2 Describing Data: Frequency Tables, Frequency Distributions, and Graphic Presentation 3 Describing Data: Numerical Measures 4 Probability Concepts 5 Discrete Probability Distributions 6 Continuous Probability Distributions 7 Mid-term 8 Mid-term 9 Sampling and Sampling Distributions 10 Estimation and Confidence Intervals 11 One-Sample Tests of Hypothesis 12 Two-Sample Tests of Hypothesis 13 Analysis of Variance 14 Nonparametric Methods: Goodness-of-Fit Tests and Analysis of Ranked Data 15 Final Exam 16 Final Exam

Recomended or Required Reading

Statistics for Business and Economics, Paul Newbold

Planned Learning Activities and Teaching Methods

Lecture by instructor, class discussion conducted by instructor, problem solving or case studies, question and answer teaching method

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA 1 MTE MIDTERM EXAM 2 FIN FINAL EXAM 3 FCG FINAL COURSE GRADE MTE * 0.40 + FIN * 0.60 4 RST RESIT 5 FCGR FINAL COURSE GRADE (RESIT) MTE * 0.40 + RST * 0.60

Further Notes About Assessment Methods

None

Assessment Criteria

Skill in analysis, synthesis and critical thinking; skill in problem solving; skill in application via midterm and final exams.

Language of Instruction

Turkish

Course Policies and Rules

To be announced.

Contact Details for the Lecturer(s)

To be announced.

Office Hours

To be announced.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours) Lectures 12 3 36 Preparations before/after weekly lectures 12 2 24 Preparation for midterm exam 1 10 10 Preparation for final exam 1 10 10 Final 1 2 2 Midterm 1 2 2 TOTAL WORKLOAD (hours) 84

Contribution of Learning Outcomes to Programme Outcomes

PO/LO 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 LO.1 5 5 LO.2 5 5 LO.3 5 5 LO.4 5 5 LO.5 5 5 LO.6 5 5 LO.7 5 5 5