Hiroshima University Syllabus

Back to syllabus main page
Academic Year School/Graduate School Lecture Code 2020Year School of Applied Biological Science L0021003 Specialized Education 生物統計学 セイブツトウケイガク Statistics in Biology NISHIBORI MASAHIDE,UENO SATORU,SAKAI YOICHI,KAWAI KIYOSHI,HIRAYAMA MAKOTO,KAWAKAMI SINITI ニシボリ　マサヒデ,ウエノ　サトル,サカイ　ヨウイチ,カワイ　キヨシ,ヒラヤマ　マコト,カワカミ　シンイチ Higashi-Hiroshima 2nd-Year,  First Semester,  1Term (1T) Tues3-4,Thur3-4：ABS C206 Lecture Lecture and computer practice 2.0 B : Japanese／English 2 : Undergraduate Low-Intermediate 26 : Biological and Life Sciences 01 : Agricultural Sciences statisitics, universe, sample,standard deviation, probability didtribution, normal distribution, interval estimation, chi-aquared test, t-test, analysis of variance, regression analysis, correlation, correlation coefficient Integrative Hydrospheric Science Program（Knowledge and Understanding）・Basic knowledge and understanding required for studying the expertiseApplied Animal and Plant Science Program（Knowledge and Understanding）・Basic knowledge and understanding required for acquiring expertise（Abilities and Skills）・Basic communication ・information processing ・physical activity・Basic experimentation abilities and skills required for acquiring expertiseFood Science Program（Knowledge and Understanding）・Basic understanding and knowledge required for learning a specialty.Molecular Agro-Life Science Program（Knowledge and Understanding）・Basic understanding and knowledge required for learning a specialty.Applied Biological Science Program（Knowledge and Understanding）・Basic understanding and knowledge required for learning a specialty. Statistics in Biology(biostatistics) is an useful tool to evaluate and to interpret results of biological investigation. The purpose of this class is to provide students a basis of statistical analysis to apply for biological measurements. 1. Introduction2. Standard deviation3,4. Normal distribution-1,25. Interval estimation6. Squared test7. Paired t test8. Independent-sample t test9,10. Variance-1,211. Regressiopn12,13. Correlation coefficient-1.214. Transformation in regression15. Random sampling etc.Term examination Printed matter PC or Note-PC 1. Preparation and review of universe,and sample etc.2. Preparation and review of standard deviation3,4. Preparation and review of normal distribution-1,25. Preparation and review of interval estimation6. Preparation and review of squared test7. Preparation and review of paired t test8. Preparation and review of independent-sample t test9,10. Preparation and review of variance-1,211. Preparation and review of regressiopn12,13. Preparation and review of correlation coefficient-1,214. Preparation and review of transformation in regression15. Preparation and review of random sampling etc. Assessment is done by the attendance, report and results of term exam. This class is provided in English upon request. 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.
Back to syllabus main page