Course Information
SemesterCourse Unit CodeCourse Unit TitleT+P+LCreditNumber of ECTS CreditsLast Updated Date
2PSİ122Statistics Applications İn Psychology Iı3+0+03704.09.2024

 
Course Details
Language of Instruction Turkish
Level of Course Unit Bachelor's Degree
Department / Program Psychology
Type of Program Formal Education
Type of Course Unit Compulsory
Course Delivery Method Face To Face
Objectives of the Course The purpose of this course is for students to have knowledge of basic topics related to the Statistics course.
Course Content Distributions, Statistical Inference 1: Point and Interval Estimation, Statistical Inference 2: Hypothesis Testing, Correlation Analysis, Simple Regression Analysis, Multiple Regression Analysis, Analysis of Variance, Jamovi Applications of these topics.
Course Methods and Techniques Face-to-face, 1- Theoretical Explanation 2- Question and Answer 3- Computer Application
Prerequisites and co-requisities None
Course Coordinator None
Name of Lecturers Asist Prof. Ümit Bozoklu
Assistants None
Work Placement(s) No

Recommended or Required Reading
Resources Avşar, Ş. Asiye, vd. Jamovi ile Kolay İstatistik. Editör: Asiye Şengül Avşar. Nobel Bilimsel Eserler Yayınevi. 2024.
Yemenici, A.Y. vd. Psikologlar için SPSS Uygulamaları ve Araştırma Yöntemleri. Nobel Bilimsel Eserler Yayınevi. 2020.
Özmen, A. vd. İstatistik II. T.C. Anadolu Üniversitesi Yayın No: 2806 Açiköğretim Fakültesi Yayini No: 1764. https://ets.anadolu.edu.tr/storage/nfs/IST202U/ebook/IST202U-13V1S1-8-0-1-SV1-ebook.pdf
Erbaş, S. Oral. Olasılık ve İstatistik: Problemler ve Çözümleri ile. Gazi Yayınevi. 8.Baskı. 2020
Ünver, Ö., Gamgam, H., Altunkaynak, B. SPSS Uygulamalı Temel İstatistik Yöntemler.10. Baskı. Seçkin Yayıncılık. 2021.
Bayar, Yusuf. Psikoloji ve Diğer Sosyal Bilimler İçin Jamovi ile Temel İstatistik. Nobel Bilimsel Eserler Yayınevi. 2023.
Exams 1 ara sınav, 1 final

Course Category
Social Sciences %100

Planned Learning Activities and Teaching Methods
Activities are given in detail in the section of "Assessment Methods and Criteria" and "Workload Calculation"

Assessment Methods and Criteria
In-Term Studies Quantity Percentage
Mid-terms 1 % 40
Final examination 1 % 60
Total
2
% 100

 
ECTS Allocated Based on Student Workload
Activities Quantity Duration Total Work Load
Course Duration 14 3 42
Hours for off-the-c.r.stud 14 3 42
Mid-terms 1 30 30
Final examination 1 40 40
Total Work Load   Number of ECTS Credits 6 154

 
Course Learning Outcomes: Upon the successful completion of this course, students will be able to:
NoLearning Outcomes
1 Understand the purpose and importance of statistics
2 Ability to describe, summarize, and visually explain data obtained on various subjects
3 Various prediction methods and hypothesis testing methods can be defined and classified
4 You will be able to apply prediction and testing methods to sample data accurately and make inferences.
5 You can use your deductions in the decision-making process.

 
Weekly Detailed Course Contents
WeekTopicsStudy MaterialsMaterials
1 General Review
2 Distributions: Discrete Distributions, Continuous Distributions
3 Distributions: Discrete Distributions, Continuous Distributions
4 Distributions: Jamovi Application
5 Statistical Estimation: Point and Interval Estimation I
6 Statistical Estimation: Point and Interval Estimation II
7 Introduction to Hypothesis Testing
8 Midterm Exam
9 Hypothesis Tests and Application of Jamovi
10 T Tests and Application of Jamovi
11 Correlation Analysis
12 Simple Regression Analysis
13 Applications of Jamovi for Correlation and Regression Analysis
14 ANOVA

 
Contribution of Learning Outcomes to Programme Outcomes
P1 P2 P3 P4 P5 P6 P7 P8 P9 P10 P11 P12 P13
All 4
C1 4
C2 4
C3 4
C4 4
C5 4

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