日本語 English
| 開講年度/ Academic YearAcademic Year |
20232023 |
| 科目設置学部/ CollegeCollege |
全学共通科目・全学共通カリキュラム（総合系）/University-wide Liberal Arts Courses (Comprehensive Courses)University-wide Liberal Arts Courses (Comprehensive Courses) |
| 科目コード等/ Course CodeCourse Code |
多彩な学び/主題別/多彩な学び/主題別多彩な学び/主題別 |
| テーマ・サブタイトル等/ Theme・SubtitleTheme・Subtitle |
Statistical Inference |
| 授業形態/ Class FormatClass Format |
オンデマンド（全回オンデマンド）/On-demand (all classes are on-demand)On-demand (all classes are on-demand) |
| 校地/ CampusCampus |
池袋/IkebukuroIkebukuro |
| 学期/ SemesterSemester |
秋学期他/Fall OthersFall Others |
| 曜日時限・教室/ DayPeriod・RoomDayPeriod・Room |
|
| 単位/ CreditCredit |
22 |
| 科目ナンバリング/ Course NumberCourse Number |
CMP2231 |
| 使用言語/ LanguageLanguage |
英語/EnglishEnglish |
| 備考/ NotesNotes |
・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 CodeText Code |
FB147 |
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.
The folowing contents will be studied; Basics of statistical inference, population and sample, estimation, statisticla test and so on.
※Please refer to Japanese Page for details including evaluations, textbooks and others.
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.
The folowing contents will be studied; Basics of statistical inference, population and sample, estimation, statisticla test and so on.
| 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 |
Assignments will be provided at each class.
| 種類 (Kind) | 割合 (%) | 基準 (Criteria) |
|---|---|---|
| 平常点 (In-class Points) | 100 |
QUIZ 70%（10%×7回） (70%) Final Report(30%) |
| 備考 (Notes) | ||
| その他 (Others) | |||||
|---|---|---|---|---|---|
| None |
This class is e-learning course on the Canvas LMS.