Academic Year |
2024Year |
School/Graduate School |
School of Applied Biological Science |
Lecture Code |
L0021003 |
Subject Classification |
Specialized Education |
Subject Name |
生物統計学 |
Subject Name (Katakana) |
セイブツトウケイガク |
Subject Name in English |
Statistics in Biology |
Instructor |
NISHIBORI MASAHIDE,SAKAI YOICHI,KAWAI KIYOSHI,HIRAYAMA MAKOTO,KAWAKAMI SINITI,TOMIYAMA TAKESHI |
Instructor (Katakana) |
ニシボリ マサヒデ,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,トミヤマ タケシ |
Campus |
Higashi-Hiroshima |
Semester/Term |
2nd-Year, First Semester, 1Term |
Days, Periods, and Classrooms |
(1T) Tues3-4,Thur3-4 |
Lesson Style |
Lecture |
Lesson Style (More Details) |
|
Lecture on-demand online, and computer practice |
Credits |
2.0 |
Class Hours/Week |
|
Language of Instruction |
B
:
Japanese/English |
Course Level |
2
:
Undergraduate Low-Intermediate
|
Course Area(Area) |
26
:
Biological and Life Sciences |
Course Area(Discipline) |
01
:
Agricultural Sciences |
Eligible Students |
|
Keywords |
statisitics, universe, sample,standard deviation, probability didtribution, normal distribution, interval estimation, chi-aquared test, t-test, analysis of variance, regression analysis, correlation, correlation coefficient |
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) | Integrative Hydrospheric Science Program (Knowledge and Understanding) ・Basic knowledge and understanding required for studying the expertise
Applied Animal and Plant Science Program (Knowledge and Understanding) ・Basic knowledge and understanding required for acquiring expertise
(Abilities and Skills) ・Basic ability in communication, information processing, and physical activities required for acquiring expertise ・Basic experimentation abilities and skills required for acquiring expertise
Food Science Program (Knowledge and Understanding) ・Basic knowledge and understanding required for acquiring expertise
Molecular Agro-Life Science Program (Knowledge and Understanding) ・Basic knowledge and understanding required for acquiring expertise
Applied Biological Science Program (Knowledge and Understanding) ・Basic knowledge and understanding required for acquiring expertise |
Class Objectives /Class Outline |
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. |
Class Schedule |
1. Introduction 2. Standard deviation 3,4. Normal distribution-1,2 5. Interval estimation 6. Squared test 7. Paired t test 8. Independent-sample t test 9,10. Variance-1,2 11. Regressiopn 12,13. Correlation coefficient-1.2 14. Transformation in regression 15. Random sampling etc.
Report examination |
Text/Reference Books,etc. |
Online text |
PC or AV used in Class,etc. |
|
(More Details) |
PC or Note-PC |
Learning techniques to be incorporated |
|
Suggestions on Preparation and Review |
1. Preparation and review of universe,and sample etc. 2. Preparation and review of standard deviation 3,4. Preparation and review of normal distribution-1,2 5. Preparation and review of interval estimation 6. Preparation and review of squared test 7. Preparation and review of paired t test 8. Preparation and review of independent-sample t test 9,10. Preparation and review of variance-1,2 11. Preparation and review of regressiopn 12,13. Preparation and review of correlation coefficient-1,2 14. Preparation and review of transformation in regression 15. Preparation and review of random sampling etc.
|
Requirements |
|
Grading Method |
Assessment is done by the attendance, and reports. |
Practical Experience |
|
Summary of Practical Experience and Class Contents based on it |
|
Message |
This class is provided in English upon request. |
Other |
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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. |