COURSE UNIT TITLE

Offered By

Graduate School of Natural and Applied Sciences

Level of Course Unit

Second Cycle Programmes (Master's Degree)

Course Coordinator

ASSOCIATE PROFESSOR SEDAT ÇAPAR

Offered to

Statistics (English)

Course Objective

This course provides an introduction statistics. Lectures will explain the theoretical origins and practical implications of statistical concepts. Topics include: Describing data sets by graphical and numerical measures, random variables, probability distributions and probability density functions, Sampling Distibutions, Estimation with Confidence Intervals, Tests of Hypothesis. This course also provides an introduction to statistical techniques in statistical software. Managing and analyzing data using statistical database package (Minitab).

Learning Outcomes of the Course Unit

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Recomended or Required Reading

Textbook(s): McClave J.T., Sincich T., Statistics, 11th edition, Prentice Hall,USA, 2008.
Supplementary Book(s):
Ryan,B., Joiner, B.L. & Cryer, J.D., MINITAB Handbook, 5th edition, Brooks/Cole - Thomson Learning Inc, Duxbury, Canada, 2005

Planned Learning Activities and Teaching Methods

Lecture and problem solving.

Assessment Methods

Further Notes About Assessment Methods

None

Assessment Criteria

Evaluation of exams.

Language of Instruction

English

Course Policies and Rules

Attendance to at least 70% for the lectures is an essential requirement of this course and is the responsibility of the student. It is necessary that attendance to the lecture and homework delivery must be on time. Any unethical behavior that occurs either in presentations or in exams will be dealt with as outlined in school policy. You can find the undergraduate policy at http://web.deu.edu.tr/fen.

Contact Details for the Lecturer(s)

DEU Fen Fakültesi Istatistik Bölümü
e-posta: sedat.capar@deu.edu.tr
Tel: 0232 301 86 01

Office Hours

To be announced.

Work Placement(s)

None

Workload Calculation

Contribution of Learning Outcomes to Programme Outcomes