| Academic Year |
2026Year |
School/Graduate School |
School of Applied Biological Science |
| Lecture Code |
L0021004 |
Subject Classification |
Specialized Education |
| Subject Name |
生物統計学（高大接続） |
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 |
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 |
| Campus |
Higashi-Hiroshima |
Semester/Term |
1st-Year, Second Semester, Intensive |
| Days, Periods, and Classrooms |
(Int) Inte |
| Lesson Style |
Lecture |
Lesson Style
(More Details) |
Online (on-demand) |
| 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) | |
|---|
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. |
Microsoft Teams, Microsoft Stream, Other (see [More Details]), moodle |
| (More Details) |
PC or Note-PC |
| Learning techniques to be incorporated |
Post-class Report |
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 |
|
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. |