Description of Individual Course Units
Course Unit CodeCourse Unit TitleType of Course UnitYear of StudySemesterNumber of ECTS Credits
707001231997INTRODUCTION TO STATISTICS-IICompulsory125
Level of Course Unit
First Cycle
Objectives of the Course
This is a course aiming to teach basic steps the hypothesis testing statistics in psychology annd social sciences. Sample mean, variances and frequency variations will be taken to test the hypothesis course students on the basis of real data using statistical hypothesis testing is aimed to become.
Name of Lecturer(s)
Doç. Dr. Mediha Korkmaz
Learning Outcomes
1Being able to understand key concepts involved in psychological statistics.
2Being able to learn the basic hypothesis statistical techniques ( conceptually and numerically).
3Being able to correctly apply statistical techniques to psychological data.
4Being able to correctly interpret results of analyses of psychological data.
5Bing able to clearly convey orally and in writing the details of statistical analyses and results.
Mode of Delivery
Face to Face
Prerequisites and co-requisities
none
Recommended Optional Programme Components
none
Course Contents
In this course will be discussed basic concepts such as hypothesis testing, the null and the alternative hypothesis, the level of significance, Type I and Type II errors, red zone etc. During to courses Student's t-tests, one-way analysis of variance and chi-square tests will be covered.
Weekly Detailed Course Contents
WeekTheoreticalPracticeLaboratory
1Introduction of the course content and the concept of statistics in social science.Meeting
2Basic concepts: Hypothesis testing, null hypothesis, alternative hypothesis, the significance level. Lecture ( Dancey&Reidy, chap. 4. pg.. 127-140)
3Type I error, Type II error, steps in hypothesis testingLecture ( Dancey&Reidy,chap. 4. pg.. 140-153) homework exercises
4Confidence intervals and estimationLecture ( Dancey&Reidy, chap. 3. pg.. 100-120)
5Student's t distribution, one sample t-testLecture ( Dancey&Reidy, chap. 6. pg.. 207-217)
6Independent sample t-test,paired sample t test Lecture (Büyüköztürk &ark. , Bölüm 8)
7Effect size and PowerLecture (Dancey &Reidy, chap. 7. pg.. 237-253)
8Effect size and PowerLecture (Dancey &Reidy, chap. 7. pg.. 237-253)
9Midterm
10F distribution and analysis of varianceLecture (Dancey &Reidy, chap. 9. pg.. 237-253)
11One-way variance analysis and post-hoc test.Lecture (Büyüköztürk &ark. , Bölüm 9)
12One-way variance analysis and post-hoc test.Lecture (Hovardaoğlu, chap. 7. pg.. 127-149) homework exercises
13Non-parametric statisticsLecture (Büyüköztürk &ark. , Bölüm 9)
14Chi-square tests, goodness-of-fit testLecture (Büyüköztürk &ark. , Bölüm 10)
15Mann-Whitney U test and other non-parametric testsLecture (Büyüköztürk &ark. , Bölüm 10)
16Final Exam
Recommended or Required Reading
Büyüköztürk,Ş.,Çokluk,Ö.&Köklü,N.(2011). Sosyal bilimler için istatistik, Pegem Akademi, Ankara. Dancey,C.P, Reidy,J. (2004). Statistics without maths for psychology. 3th Ed. London: Pearson Education Limited.
Planned Learning Activities and Teaching Methods
Assessment Methods and Criteria
Term (or Year) Learning ActivitiesQuantityWeight
SUM0
End Of Term (or Year) Learning ActivitiesQuantityWeight
SUM0
SUM0
Language of Instruction
Turkish
Work Placement(s)
none
Workload Calculation
ActivitiesNumberTime (hours)Total Work Load (hours)
Midterm Examination133
Final Examination133
Question-Answer14342
Individual Study for Homework Problems5420
Individual Study for Mid term Examination11515
Individual Study for Final Examination11515
Reading13452
TOTAL WORKLOAD (hours)150
Contribution of Learning Outcomes to Programme Outcomes
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
LO111  2231 3 1  1
LO222 13342 4 21 2
LO333 24453 5 32 3
LO433 24453 5 32 3
LO533 24453 5 32 3
* Contribution Level : 1 Very low 2 Low 3 Medium 4 High 5 Very High
 
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