シラバス参照

開講年度(Academic Year) 2021 
科目コード/科目名
(Course Code / Course Title)
Introduction to Statistics 1 
テーマ/サブタイトル等
(Theme / Subtitle)
Descriptive Statistics 
担当者 (Instructor) 山口 和範(YAMAGUCHI KAZUNORI)
ドイ,ジミー(DOI JIMMY) 
時間割 (Class Schedule) 春学期他 (Spring Others)     オンデマンド
単位 (Credit) 2単位(2 Credits) 
科目ナンバリング
(Course Number)
CMP2231 
使用言語
(Language)
英語
(English) 
備考 (Notes) ・オンデマンド授業
・TOEIC®550点相当以上の英語力を有していることを前提に授業を実施する 
テキスト用コード (Text Code) FB146 



授業の
目標
Course
Objectives
This class is an introductory course that assumes no prior knowledge of statistics. Basic statistical concepts and methods are presented in a manner that emphasizes understanding the principles of data collection and analysis rather than theory. Much of the course will be devoted to discussions of how statistics is commonly used in the real world. The primary goal of the course is to help students understand how the process of problem solving using data, collecting data relevant to that problem, analyzing data, and interpreting data can help them find answers to real problems from their world. 
 
授業の
内容
Course
Contents
The following contents will be studied; frequency table, making statistical graphs, basic statistics as mean and variance, correlation and causation, analysis of variance and so on.  
 
授業計画
Course
Schedule
1. Role of statistics 
2. Data collection and Variables 
3. Frequency table and histogram 
4. Statistical Graphs 
5. Distributions 
6. Mean, mode and median 
7. Variance 
8. Comparison of distributions 
9. Relationship between two variables 
10. Cross tables 
11. Association between categorical variables 
12. Correlation and scatter plot 
13. Regression analysis 
14. Confounding 
授業時間外
(予習・復習
等)の学習
Study
Required
Outside
of Class
Assignments will be provided at each class. 
成績評価
方法・基準
Evaluation
種類(Kind) 割合(%) 基準(Criteria)
平常点(In-class Points) 100  %
Quiz(10%×7)(70%) 、Report(30%)
テキスト
Textbooks
None
参考文献
Readings
その他
(HP等)
Others
(e.g. HP)
This class is e-learning course on the Blackboard.  
注意事項
Notice
 


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