Course Information


Course Information
Course Title Code Semester L+U Hour Credits ECTS
STATISTICS II SAY214 4. Semester 2 + 2 3.0 2.0

Prerequisites None

Language of Instruction Turkish
Course Level Bachelor's Degree
Course Type Compulsory
Mode of delivery Oral presentation, question and answer, discussion, problem solving.
Course Coordinator
Instructors
Assistants
Goals SPSS statistical test and analysis methods by implementing spss methods provide to teach, To teach interpret the results correctly and choose the correct statistical methods.In other words, what methods which can be applied to the problem, which can be applied in situations to teach.
Course Content General Informations About Hypothesis (Significance) Testing , Hypothesis Testing of a Population Mean, Hypothesis Testing of a Population Proportion, Paired sample t-Test, Hypothesis Testing of the Difference between the Means of Two Populations, Hypothesis Testing of the Difference between the Proportions of Two Populations, Ki-square Test, Analysis of Variance, correlation analysis, regression analysis, Mann-Whitney U Test, Wilcoxon t-Test, The use and application of SPSS
Learning Outcomes 1) Explains general informations about hypothesis (significance) tests.
2) Apply hypothesis testing
3) Tests the given research hypothesis using the appropriate statistical hypothesis test.
4) Compare the difference between two or more variables.
5) Explains parametric and nonparametric tests.
6) Determines the direction and degree of the relationship between the two variables.
7) Examines the structure of the relationship between variables.
8) Distinguishes in which.situations statistical methods used for which problem
9) Uses SPSS statistical package program for data analysis.
10) Makes and interprets statistical analysis of the data.

Weekly Topics (Content)
Week Topics Teaching and Learning Methods and Techniques Study Materials
1. Week General Information about Hypothesis Testing, Hypothesis Tests about a Population Mean Lecture; Question Answer; Problem Solving; Discussion

Homework Practice (Teaching Practice, Music/Musical Instrument Practice, Statistics, Laboratory, Field Work, Clinic and Polyclinic Practice)
2. Week Hypothesis Tests about a Population Proportion, Paired-Samples t Test Lecture; Question Answer; Problem Solving; Discussion; Case Study

Homework Practice (Teaching Practice, Music/Musical Instrument Practice, Statistics, Laboratory, Field Work, Clinic and Polyclinic Practice)
3. Week Hypothesis Tests about the Difference between the Means of Two Population Lecture; Question Answer; Problem Solving; Discussion; Case Study

Homework Practice (Teaching Practice, Music/Musical Instrument Practice, Statistics, Laboratory, Field Work, Clinic and Polyclinic Practice)
4. Week Hypothesis Tests about the Difference between the Proportions of Two Population Lecture; Question Answer; Problem Solving; Discussion; Case Study

Homework Practice (Teaching Practice, Music/Musical Instrument Practice, Statistics, Laboratory, Field Work, Clinic and Polyclinic Practice)
5. Week Chi-square test Lecture; Question Answer; Problem Solving; Discussion; Case Study

Homework Practice (Teaching Practice, Music/Musical Instrument Practice, Statistics, Laboratory, Field Work, Clinic and Polyclinic Practice)
6. Week Chi-square test Lecture; Question Answer; Problem Solving; Discussion; Case Study

Homework Practice (Teaching Practice, Music/Musical Instrument Practice, Statistics, Laboratory, Field Work, Clinic and Polyclinic Practice)
7. Week Variance Analysis Lecture; Question Answer; Problem Solving; Discussion

Homework Practice (Teaching Practice, Music/Musical Instrument Practice, Statistics, Laboratory, Field Work, Clinic and Polyclinic Practice)
8. Week Correlation Analysis Lecture; Question Answer; Problem Solving; Discussion

Homework Practice (Teaching Practice, Music/Musical Instrument Practice, Statistics, Laboratory, Field Work, Clinic and Polyclinic Practice)
9. Week Regression Analysis Lecture; Question Answer; Problem Solving; Discussion

Homework Practice (Teaching Practice, Music/Musical Instrument Practice, Statistics, Laboratory, Field Work, Clinic and Polyclinic Practice)
10. Week Mann-Whitney U Test, Wilcoxon t-Test Lecture; Question Answer; Problem Solving; Discussion

Homework Practice (Teaching Practice, Music/Musical Instrument Practice, Statistics, Laboratory, Field Work, Clinic and Polyclinic Practice)
11. Week Introduction to SPSS Statistical Package Program for Data Analysis (Classification of data input data, graphics). Lecture; Question Answer; Problem Solving; Discussion

Homework Practice (Teaching Practice, Music/Musical Instrument Practice, Statistics, Laboratory, Field Work, Clinic and Polyclinic Practice)
12. Week The use and application of Hypothesis Tests in SPSS. Lecture; Question Answer; Problem Solving; Case Study

Homework Practice (Teaching Practice, Music/Musical Instrument Practice, Statistics, Laboratory, Field Work, Clinic and Polyclinic Practice)
13. Week Chi-square test and variance analysis in SPSS. Lecture; Question Answer; Problem Solving; Discussion

Homework Practice (Teaching Practice, Music/Musical Instrument Practice, Statistics, Laboratory, Field Work, Clinic and Polyclinic Practice)
14. Week Correlation and Regression Analysis in SPSS. Lecture; Question Answer; Problem Solving; Discussion

Homework Practice (Teaching Practice, Music/Musical Instrument Practice, Statistics, Laboratory, Field Work, Clinic and Polyclinic Practice)

Sources Used in This Course
Recommended Sources
Akgül A., Çevik, O., İstatistiksel Analiz Teknikleri, Emek Ofset, 2005.
Karagöz M., İstatistik Yöntemleri, Ekin Kitabevi, 9.Baskı, Bursa, 2015.
Karagöz, Y., SPSS Uygulamalı Biyoistatistik, Nobel Akademik Yayıncılık, Ankara,2014.
Özdamar K., Paket programlar ile İstatistiksel veri Analizi, Kaan Kitabevi, 2010.
Özdamar K.,SPSS ile Biyoistatistik, 10. baskı, Nisan Kitabevi, 2015.
Sümbüloğlu, K. ve Sümbüloğlu, V. Biyoistatistik. Hatipoğlu Yayınevi, 2016.
Ünver Ö., Gamgam H., Altunkaynak B., SPSS Uygulamalı Temel İstatistik Yöntemler, Seçkin yayınevi, 7.Baskı, Ankara, 2013.

Assessment
Measurement and Evaluation Methods and Techniques
Multiple Choice Tests, true-false questions, short-answer Written Questions, Long Answer Questions for Examination, Matching Questions
Relations with Education Attainment Program Course Competencies
Program RequirementsContribution LevelDK1DK2DK3DK4DK5DK6DK7DK8DK9DK10
PY150000000000
PY250000000000
PY350000000000
PY454444444444
PY550000000000

*DK = Course's Contrubution.
0 1 2 3 4 5
Level of contribution None Very Low Low Fair High Very High
.

ECTS credits and course workload
Event Quantity Duration (Hour) Total Workload (Hour)
Course Duration (Total weeks*Hours per week) 14 2
Work Hour outside Classroom (Preparation, strengthening) 14 1
Midterm Exam 1 1
Time to prepare for Midterm Exam 3 4
Final Exam 1 1
Time to prepare for Final Exam 3 4
Total Workload
Total Workload / 30 (s)
ECTS Credit of the Course
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Course Information