Course title
330079001
Statistics for Bioscience

 YAMAMOTO Shinichirou
Middle-level Diploma Policy (mDP)
Program / Major mDP Goals
Bioscience Course DP-4a・1 研究者・技術者としての基礎的素養
分子・細胞・個体レベルの専門知識を修得し、生命現象を俯瞰して課題を特定すると共に、適切な実験・解析手法を用いて問題解決策を構築できる。
Biomedical Engineering Course DP-4b・1 研究者・技術者としての基礎的素養
医工学分野の専門知識・ものづくり技術を修得し、論理的に課題解決できる。
Sports Engineering Course DP-4c・1 研究者・技術者としての基礎的素養
運動機器・支援デバイスを開発し、運動機能の発展・拡張に寄与できる。
Purpose of class
The objective of this course is to help students understand and apply basic statistical methods in the life sciences, perform statistical analyses of actual experimental data, and develop the ability to interpret and discuss the results.
Course description
This course provides lectures on statistical methods for research in the life sciences. In particular, acquiring statistical methods for analyzing experimental data commonly used in the life sciences is essential for developing rational research plans. The course explains key methods in probability and statistics, using research examples from the life sciences.
Goals and objectives
  1. Students will be able to understand basic statistical methods in the field of life sciences.
  2. Students will be able to apply basic statistical methods used in the field of life sciences.
  3. Students will be able to interpret data using statistical methods in the field of life sciences.
Relationship between 'Goals and Objectives' and 'Course Outcomes'

 Midterm Examination Final Examination Total.
1. 15% 20% 35%
2. 15% 20% 35%
3. 10% 20% 30%
Total. 40% 60% -
Evaluation method and criteria
Evaluation will be based on the midterm examination (40%) and the final examination (60%). A passing score of 60 indicates that students have acquired the minimum statistical methods necessary for experiments and measurements in the Department of Bioscience and Engineering, and are able to interpret data at a basic level.
Language
Japanese
Class schedule

 Class schedule HW assignments (Including preparation and review of the class.) Amount of Time Required
1. Guidance: What Is Statistics? Review of the Syllabus 20minutes
Preparation of Materials and Pre-class Study 30minutes
2. Basic Statistics, Standardization, and Principles of Hypothesis Testing Pre- and Post-class Report Assignment 150minutes
Preparation of Materials and Pre-class Study 30minutes
3. Testing Differences Between Two Related Groups Pre- and Post-class Report Assignment 150minutes
Preparation of Materials and Pre-class Study 30minutes
4. Testing Differences Between Two Independent Groups Pre- and Post-class Report Assignment 150minutes
Preparation of Materials and Pre-class Study 30minutes
5. Summary of Tests for Differences Between Two Groups Pre- and Post-class Report Assignment 150minutes
Preparation of Materials and Pre-class Study 30minutes
6. Midterm Examination and Explanation Preparation for Examination, Pre- and Post-class Report Assignment 360minutes
7. Testing Differences Among Multiple Independent Groups Pre- and Post-class Report Assignment 150minutes
Preparation of Materials and Pre-class Study 30minutes
8. Testing Differences Among Multiple Related Groups Pre- and Post-class Report Assignment 150minutes
Preparation of Materials and Pre-class Study 30minutes
9. Summary of Tests for Differences Among Multiple Groups Pre- and Post-class Report Assignment 150minutes
Preparation of Materials and Pre-class Study 30minutes
10. Regression and Correlation 1 Pre- and Post-class Report Assignment 150minutes
Preparation of Materials and Pre-class Study 30minutes
11. Regression and Correlation 2 Pre- and Post-class Report Assignment 150minutes
Preparation of Materials and Pre-class Study 30minutes
12. Proper Use and Interpretation of Statistics Pre- and Post-class Report Assignment 150minutes
Preparation of Materials and Pre-class Study 30minutes
13. Review and Summary Pre- and Post-class Report Assignment 150minutes
Preparation of Materials and Pre-class Study 30minutes
14. Final Examination and Explanation Preparation for Examination 360minutes
Total. - - 2750minutes
Feedback on exams, assignments, etc.
ways of feedback specific contents about "Other"
Feedback outside of the class (ScombZ, mail, etc.)
Textbooks and reference materials
Reference Book: Statistics for Bioscience
Prerequisites
Office hours and How to contact professors for questions
  • Lunchtime and after class on class days
Regionally-oriented
Non-regionally-oriented course
Development of social and professional independence
  • Course that cultivates an ability for utilizing knowledge
  • Course that cultivates a basic problem-solving skills
  • Course that cultivates a basic self-management skills
Active-learning course
Most classes are interactive
Course by professor with work experience
Work experience Work experience and relevance to the course content if applicable
N/A N/A
Education related SDGs:the Sustainable Development Goals
  • 4.QUALITY EDUCATION
  • 9.INDUSTRY, INNOVATION AND INFRASTRUCTURE
Last modified : Fri Jul 10 04:06:05 JST 2026