Hiroshima University Syllabus

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Academic Year School/Graduate School Lecture Code 2024Year School of Integrated Arts and Sciences Department of Integrated Global Studies ARC01401 Specialized Education Social Statistics Analysis I （社会統計・データ分析 I） シャカイトウケイ・データブンセキ I Social Statistics Analysis I NUNES TENDEIRO JORGE ナヌッシュ　テンデイル　ジョージ Higashi-Hiroshima 2nd-Year,  First Semester,  1Term (1T) Weds7-8：IAS K110 Lecture Lectures we be conducted in-class only. 1.0 E : English 3 : Undergraduate High-Intermediate 24 : Social Sciences 05 : Sociology Social sciences, statistics, R, descriptives, inference Integrated Global Studies（Knowledge and Understanding）・The knowledge and understanding of the important characteristics and basic theoretical framework of individual academic disciplines. 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. lesson1: Gentle introduction to statisticslesson2: Getting started with Rlesson3: Additional R conceptslesson4: Descriptive statisticslesson5: Drawing graphs. Basic programminglesson6: Introduction to probabilitylesson7: Estimation (Part 1/2)lesson8: Estimation (Part 2/2)lesson9: Hypothesis testing (Part 1/2)lesson10: Hypothesis testing (Part 2/2)lesson11: Categorical data analysislesson12: Comparing two meanslesson13: 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 II (ARC01501). 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 version0.5.1, https://learningstatisticswithr.com. The course includes lecture slides (PDF) and assignment files (PDF, text files). On occasion, videos may be suggested. 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. This course has to be taken together with Social Statistics Analysis II (ARC01501). The evaluation is based on assignments (100%). This course has to be taken together with Social Statistics Analysis II (ARC01501). 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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