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Course Unit Title Course Unit Code Type of Course Unit Level of Course Unit Year of Study Semester ECTS Credits
Introduction To Statistics SHB311 Compulsory Bachelor's degree 3 Fall 2

Name of Lecturer(s)

Associate Prof. Dr. Sibel BALCİ
Assistant Prof. Dr. Elvan ATAMTÜRK

Learning Outcomes of the Course Unit

1) Explain the basic concepts of biostatistics.
2) Discuss importance of biostatistics for social service.
3) Recognize the SPSS program.
4) Explaine the features of tables, figures and graphics.
5) Recognize descriptive statistics.
6) Make descriptive statistics with computer and in hand.
7) Explain the most commonly used tests of significance in the field of social service.
8) Explain the importance of ethical principles in conducting scientific article.

Program Competencies-Learning Outcomes Relation

  Program Competencies
1 2 3 4 5 6 7 8
Learning Outcomes
1 High No relation No relation No relation No relation No relation No relation No relation
2 No relation High No relation No relation No relation No relation No relation No relation
3 No relation High No relation No relation No relation No relation No relation No relation
4 No relation No relation No relation No relation No relation No relation No relation No relation
5 No relation No relation No relation No relation No relation No relation No relation No relation
6 No relation No relation No relation No relation No relation No relation No relation No relation
7 No relation No relation No relation No relation No relation No relation No relation No relation
8 No relation No relation No relation No relation No relation No relation No relation No relation

Mode of Delivery

Face to Face

Prerequisites and Co-Requisites

None

Recommended Optional Programme Components

Philosophy of Science

Course Contents

The definition and purpose of statistics, Basic concepts, Organization of data, Frequency tables and graphs, Measures of central tendency, Measures of change, Probability, probability distributions, Point estimation and confidence intervals, Hypothesis testing, contingency (cross), tables, Chi-square analysis, Simple linear regression analysis and correlation, One-way analysis of variance.

Recommended or Required Reading

Planned Learning Activities and Teaching Methods



Assessment Methods and Criteria

Contribution of Midterm Examination to Course Grade

50%

Contribution of Final Examination to Course Grade

50%

Total

100%

Language of Instruction

Turkish

Work Placement(s)

Not Required