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Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS UAT 2027 APPLIED STATITTICS -I COMPULSORY 3 0 0 5

Offered By

International Trade

Level of Course Unit

First Cycle Programmes (Bachelor's Degree)

Course Coordinator

PROFESSOR DOCTOR RABIA ECE OMAY

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 WEEK 1 Basic concepts 2 WEEK 2 Collection of Data, Processing of Data and Presentation of Data 3 WEEK 3 Measures of Central Tendency: Sensitive and Non-Sensitive Means 4 WEEK 4 Measures of Variability 5 WEEK 5 Fundamental Probability Concepts, Fundamental Rules of Counting, Permutation-Combination, Fundamental Probability Theorems 6 WEEK 6 Independent Events, Discrete Events, Conditional Probability, Bayes' Theorem 7 WEEK 7 MIDTERM - Independent Events, Discrete Events, Conditional Probability, Bayes' Theorem 8 WEEK 8 MIDTERM - Discrete/Continuous Random Variables, Probability Function, Probability Density Function, Cumulative Distribution Function, Expected Value -Variance Concept and Calculation, Covariance Concept 9 WEEK 9 Discrete/Continuous Random Variables, Probability Function, Probability Density Function, Cumulative Distribution Function, Expected Value -Variance Concept and Calculation, Covariance Concept 10 WEEK 10 Discrete probability distributions 11 WEEK 11 Continuous Probability Distributions 12 WEEK 12 Approximation of the Binomial Distribution to the Poisson Distribution, Approximation of the Binomial Distribution to the Normal Distribution, Approximation of the Normal Distribution of the Poisson Distribution 13 WEEK 13 Sampling Theory and Sampling Distributions 14 WEEK 14 Sampling Distributions

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 *** Resit Exam is Not Administered in Institutions Where Resit is not Applicable.

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)

rabiaece.omay@deu.edu.tr

Office Hours

To be announced.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours) Lectures 13 3 39 Preparations before/after weekly lectures 13 3 39 Preparation for midterm exam 1 18 18 Preparation for final exam 1 24 24 Final 1 2 2 Midterm 1 3 3 TOTAL WORKLOAD (hours) 125

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 PO.16 LO.1 5 3 4 5 4 LO.2 5 3 4 5 4 LO.3 5 3 4 5 4 LO.4 5 3 4 5 4 LO.5 5 3 4 5 4 LO.6 5 3 4 5 4 LO.7 5 3 4 5 4