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 |
Descriptive Statistics |
| 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) |
| 授業形態（補足事項）/ Class Format (Supplementary Items)Class Format (Supplementary Items) |
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| 授業形式/ Class StyleCampus |
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| 校地/ CampusCampus |
池袋/IkebukuroIkebukuro |
| 学期/ SemesterSemester |
春学期他/Spring OthersSpring 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 |
| 履修登録方法/ Class Registration MethodClass Registration Method |
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| 配当年次/ Grade (Year) RequiredGrade (Year) Required |
配当年次は開講学部のR Guideに掲載している科目表で確認してください。配当年次は開講学部のR Guideに掲載している科目表で確認してください。 |
| 先修規定/ prerequisite regulationsprerequisite regulations |
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| 他学部履修可否/ Acceptance of Other CollegesAcceptance of Other Colleges |
|
| 履修中止可否/ course cancellationcourse cancellation |
|
| オンライン授業60単位制限対象科目/ Online Classes Subject to 60-Credit Upper LimitOnline Classes Subject to 60-Credit Upper Limit |
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| 学位授与方針との関連/ Relationship with Degree PolicyRelationship with Degree Policy |
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| 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 |
FB146 |
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 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.
※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 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.
| 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 |
板書 /Writing on the Board
スライド（パワーポイント等）の使用 /Slides (PowerPoint, etc.)
上記以外の視聴覚教材の使用 /Audiovisual Materials Other than Those Listed Above
個人発表 /Individual Presentations
グループ発表 /Group Presentations
ディスカッション・ディベート /Discussion/Debate
実技・実習・実験 /Practicum/Experiments/Practical Training
学内の教室外施設の利用 /Use of On-Campus Facilities Outside the Classroom
校外実習・フィールドワーク /Field Work
上記いずれも用いない予定 /None of the above
Assignments will be provided at each class.
| 種類 (Kind) | 割合 (%) | 基準 (Criteria) |
|---|---|---|
| 平常点 (In-class Points) | 100 |
Quiz(10%×7)(70%) Report(30%) |
| 備考 (Notes) | ||
| その他 (Others) | |||||
|---|---|---|---|---|---|
| None |
This class is e-learning course on the Canvas LMS.