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 2 
テーマ/サブタイトル等
(Theme / Subtitle)
Statistical Inference 
担当者 (Instructor) 山口 和範(YAMAGUCHI KAZUNORI)
ドイ,ジミー(DOI JIMMY) 
時間割 (Class Schedule) 秋学期他 (Fall 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) FB147 



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 folowing contents will be studied; Basics of statistical inference, population and sample, estimation, statisticla test and so on.  
 
授業計画
Course
Schedule
1. Role of Statistics 
2. Random Sample and Sampling Error 
3. Probability and Distributions 
4. Sampling distribution and the Central limit Theorem 
5. Statistical Estimation 1: Introduction 
6. Statistical Estimation 2 ; Estimation of means 
7. Statistical Estimation 3 ; Estimation of proportions 
8. Hypothesis Test 1 : Introduction 
9. Hypothesis Test 2 : Hypothesis and two types of errors 
10. Hypothesis Test 3 : Difference of means 
11. Analysis of Variance 
12. Chi-squared Test 
13. Analysis of Multiway Table 
14. Correlation and Regression 
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 70%(10%×7回) (70%) 、Final 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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