Hiroshima University Syllabus

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Academic Year 2023Year School/Graduate School School of Education
Lecture Code CC520303 Subject Classification Specialized Education
Subject Name 心理学統計法I
Subject Name
Subject Name in
Psychological Statistics I
ナカオ タカシ
Campus Higashi-Hiroshima Semester/Term 2nd-Year,  First Semester,  2Term
Days, Periods, and Classrooms (2T) Fri1-4:EDU K203
Lesson Style Lecture Lesson Style
(More Details)
Lecture based on materials provided in class and with PowerPoint
Credits 2.0 Class Hours/Week   Language of Instruction J : Japanese
Course Level 2 : Undergraduate Low-Intermediate
Course Area(Area) 24 : Social Sciences
Course Area(Discipline) 06 : Psychology
Eligible Students Students in Program in Psychology, Required course
Keywords Psychology, Description Statistic, Variable and scale, Representative value and irrelevance,  Population and sample, Inferential statistic, Testing of statistical hypothesis
Special Subject for Teacher Education   Special Subject  
Class Status
within Educational
(Applicable only to targeted subjects for undergraduate students)
Criterion referenced
(Applicable only to targeted subjects for undergraduate students)
(Abilities and Skills)
・To acquire the basic ability and skills to conduct a research. 
Class Objectives
/Class Outline
By the end of this course, students should be able to
1. Describe the outline of the statistic methods used in Psychology
2. Understand and use the basic mothods of statistics, and be able to interplet the data.

This class provides students with the opportunity to learn basic skills and understandings for statistic methods used in Psychology 
Class Schedule Lesson 1 Orientation: Significance of psychological statistics.
Lesson 2 Scale and measurement
Lesson 3 One-variable statistical analysis  (1):frequency distribution
Lesson 4 One-variable statistical analysis (2):representative value
Lesson 5 One-variable statistical analysis(3):dissemination, skewness, and kurtosis of distribution
Lesson 6: One-variable statistical analysis (4):normalization and  probability distribution
Lesson 7: Basics of inferential statistics(1):population, sample and sampling distribution
Lesson 8: Basics of inferential statistics(2):Point and Interval Estimation
Lesson 9:When the population distribution is not normally distributed: Central Limit Theorem and nonlinear transformations
Lesson 10:Basics of statistical hypothesis testing(1):procedure of statistical tests
Lesson 11: Basics of statistical hypothesis testing(2):Terminology Related to statistical tests
Lesson 12: Basics of statistical hypothesis testing(3):types of statistical tests
Lesson 13: The comparison between the two conditions (1) : parametric methods
Lesson 14:The comparison between the two conditions (2) : non-parametric methods
Lesson 15: Summary

"Submit comment of every class.   
Quiz is conducted at every unit contents of the class.
Term-end examination"
No specific textbooks
Reference publications are introduced in class.

PC or AV used in
(More Details) Materials provided in class, Screen image with PC, Audio materials, Please bring your own PC.
Learning techniques to be incorporated  
Suggestions on
Preparation and
Review lecture materials and confer the reference books
Requirements Class relevant to subject: Civics (Philosophy, Ethics, Religious Studies, Psychology)
Grading Method Contents of comment sheets every time (Approx. 20%), Quiz in lessons (Approx. 40%), Term-end examination (Approx. 40%)
Practical Experience  
Summary of Practical Experience and Class Contents based on it  
Message Please bring your own PC (Windows PC is recommended).
Don't you believe yourself, "I'm not good at subjects dealing with mathematics (statistics)." To remove such reconceived idea is also the one of the big objectives of this class. Be relaxed and work on it actively.
Please fill in the class improvement questionnaire which is carried out on all classes.
Instructors will reflect on your feedback and utilize the information for improving their teaching. 
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