| Academic Year |
2024Year |
School/Graduate School |
School of Integrated Arts and Sciences Department of Integrated Global Studies |
| Lecture Code |
ARC01501 |
Subject Classification |
Specialized Education |
| Subject Name |
Social Statistics Analysis II （社会統計・データ分析 II） |
Subject Name
（Katakana） |
シャカイトウケイ・データブンセキ II |
Subject Name in
English |
Social Statistics Analysis II |
| Instructor |
NUNES TENDEIRO JORGE |
Instructor
(Katakana) |
ナヌッシュ テンデイル ジョージ |
| Campus |
Higashi-Hiroshima |
Semester/Term |
2nd-Year, First Semester, 1Term |
| Days, Periods, and Classrooms |
(1T) Fri1-2：IAS K110 |
| Lesson Style |
Seminar |
Lesson Style
(More Details) |
|
| Lectures we be conducted in-class only. |
| Credits |
1.0 |
Class Hours/Week |
|
Language of Instruction |
E
:
English |
| Course Level |
3
:
Undergraduate High-Intermediate
|
| Course Area（Area） |
24
:
Social Sciences |
| Course Area（Discipline） |
05
:
Sociology |
| Eligible Students |
|
| Keywords |
Social sciences, statistics, R, descriptives, inference |
| Special Subject for Teacher Education |
|
Special Subject |
|
Class Status
within Educational
Program
(Applicable only to targeted subjects for undergraduate students) | |
|---|
Criterion referenced
Evaluation
(Applicable only to targeted subjects for undergraduate students) | Integrated Global Studies
（Knowledge and Understanding）
・The knowledge and understanding of the important characteristics and basic theoretical framework of individual academic disciplines. |
|---|
Class Objectives
/Class Outline |
I will give lectures on the way of thinking about data, from collection through reporting findings. Performing descriptive analyses and mastering the basics of statistical inference are at the core of this course. Also, the programming language R will be taught and used in order to apply statistics to data. |
| Class Schedule |
lesson1: Gentle introduction to statistics
lesson2: Getting started with R
lesson3: Additional R concepts
lesson4: Descriptive statistics
lesson5: Drawing graphs. Basic programming
lesson6: Introduction to probability
lesson7: Estimation (Part 1/2)
lesson8: Estimation (Part 2/2)
lesson9: Hypothesis testing (Part 1/2)
lesson10: Hypothesis testing (Part 2/2)
lesson11: Categorical data analysis
lesson12: Comparing two means
lesson13: Comparing several means (one-way ANOVA)
lesson14: Linear regression (Part 1/2)
lesson15: Linear regression (Part 1/2)
Examination will consist of working on and submitting several assignments.
This course has to be taken together with Social Statistics Analysis I (ARC01401). |
Text/Reference
Books,etc. |
Navarro, D. (2015). Learning statistics with R: A tutorial for psychology students and other
beginners. (Version 0.6). University of New South Wales, Sydney, Australia. R package version
0.5.1, https://learningstatisticswithr.com. |
PC or AV used in
Class,etc. |
|
| (More Details) |
The course includes lecture slides (PDF) and assignment files (PDF, text files). On occasion, videos may be suggested. |
| Learning techniques to be incorporated |
|
Suggestions on
Preparation and
Review |
It is best to work regularly. Follow the lectures sequence. Do use R either via RStudio Cloud or, (optionally) install it on your laptop. Reproduce all examples discussed in the lectures on your own. Work carefully through the assignments. |
| Requirements |
This course has to be taken together with Social Statistics Analysis I (ARC01401). |
| Grading Method |
The evaluation is based on assignments (100%). |
| Practical Experience |
|
| Summary of Practical Experience and Class Contents based on it |
|
| Message |
|
| Other |
This course has to be taken together with Social Statistics Analysis I (ARC01401). |
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. |