日本語 English
| 開講年度/ Academic YearAcademic Year |
20242024 |
| 科目設置学部/ CollegeCollege |
異文化コミュニケーション学部/College of Intercultural CommunicationCollege of Intercultural Communication |
| 科目コード等/ Course CodeCourse Code |
DM489/DM489DM489 |
| テーマ・サブタイトル等/ Theme・SubtitleTheme・Subtitle |
Business Statistics |
| 授業形態/ Class FormatClass Format |
オンライン（全回オンライン）/Online (all classes are online)Online (all classes are online) |
| 授業形態（補足事項）/ Class Format (Supplementary Items)Class Format (Supplementary Items) |
発話を伴う授業を学内で受講する場合はN851教室の利用可。 |
| 授業形式/ Class StyleCampus |
講義/LectureLecture |
| 校地/ CampusCampus |
新座/NiizaNiiza |
| 学期/ SemesterSemester |
秋学期/Fall semesterFall semester |
| 曜日時限・教室/ DayPeriod・RoomDayPeriod・Room |
金5/Fri.5 Fri.5 ログインして教室を表示する（Log in to view the classrooms.） |
| 単位/ CreditsCredits |
22 |
| 科目ナンバリング/ Course NumberCourse Number |
ICC2581 |
| 使用言語/ LanguageLanguage |
英語/EnglishEnglish |
| 履修登録方法/ Class Registration MethodClass Registration Method |
科目コード登録/Course Code RegistrationCourse Code Registration |
| 配当年次/ Assigned YearAssigned Year |
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 |
|
| 他学部履修可否/ Acceptance of Other CollegesAcceptance of Other Colleges |
履修登録システムの『他学部・他研究科履修不許可科目一覧』で確認してください。 |
| 履修中止可否/ Course CancellationCourse Cancellation |
〇（履修中止可/ Eligible for 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 |
○○ |
| 学位授与方針との関連/ Relationship with Degree PolicyRelationship with Degree Policy |
各授業科目は、学部・研究科の定める学位授与方針（DP）や教育課程編成の方針（CP）に基づき、カリキュラム上に配置されています。詳細はカリキュラム・マップで確認することができます。 |
| 備考/ NotesNotes |
For PEACE and DLP students |
Upon completion of this course, the student will be able to
①Understand and explain basic tourism concepts and destination marketing elements.
②Understand the DCOVA framework
③Able to apply statistics to solve business problems
The tourism industry is a foundation of the global economy and a significant industry that impacts a variety of sectors. In this course, by learning fundamental tourism statistics, student will deepen student understanding of industry health and dynamism through indicators such as visitor numbers, spending patterns, and market share. At the core of the course is the DCOVA framework, which promotes systematic decision-making through the collection, organization, visualization, and application of data. Through practical projects, student will cultivate analytical skills and develop the ability to support decision-making within the industry.
| 1 | Introduction: Important Things to Learn First |
| 2 | Defining and Collecting Data |
| 3 | Organizing and Visualizing Variables |
| 4 | Numerical Descriptive Measures |
| 5 | The Normal Distribution |
| 6 | Sampling Distributions |
| 7 | Confidence Interval Estimation |
| 8 | Fundamentals of Hypothesis Testing: One-Sample Tests |
| 9 | Two-Sample Tests and One-Way ANOVA |
| 10 | t-Test |
| 11 | Journal article Reading and Discussion (Quantitative） |
| 12 | Student Project |
| 13 | Student Project |
| 14 | Student Project |
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
1.Preparation Activities:
Study basic statistical terms and concepts in advance to gain a preliminary understanding of the topics to be discussed.
Read summaries or introductions to relevant chapters to build a foundation for class discussions.
Find real-world cases in the tourism industry that demonstrate how statistical data can be collected and utilized.
2.Review Activities:
Organize class notes, distilling key concepts and definitions.
Complete any assigned homework or exercises to apply and reinforce the content learned.
Form study groups with classmates to discuss concepts from class and clarify any doubts.
3.Application Activities:
Practice with actual data, such as analyzing tourism-related datasets to exercise statistical skills.
Conduct small research projects, like designing a survey, collecting data, and analyzing it.
Use software tools (e.g., Excel) for practicing data organization, analysis, and visualization.
| 種類 (Kind) | 割合 (%) | 基準 (Criteria) |
|---|---|---|
| 平常点 (In-class Points) | 100 |
In-class Participation (English) (60%) 最終レポート(Final Report)(40%) |
| 備考 (Notes) | ||
| その他 (Others) | |||||
|---|---|---|---|---|---|
| Reading materials will be distributed in class |
| その他 (Others) | |||||
|---|---|---|---|---|---|
| Reading materials will be distributed in class |
Excel
このコースを修了すると、学生は以下の能力を身につけることができます。
①観光概念と目的地マーケティング要素の理解と説明：
学生は、観光業界における基本的な概念や用語を理解し、それらを明確に説明できるようになります。
②DCOVAフレームワークの理解：
DCOVAフレームワークとは、観光業界におけるデータの収集、整理、分析、視覚化、アクション（Data, Collection, Organization, Visualization, and Action）のプロセスを指します。このフレームワークを理解することにより、学生はデータ駆動型の意思決定プロセスを学び、観光業界における戦略的な課題解決に役立つデータの扱い方を習得します。
③統計学を用いたビジネス問題の解決能力の獲得：
学生は統計学の基本的な原理や手法を学び、これらをビジネス上の問題を解決するために応用する能力を養います。観光業に特有の問題に対して、統計的手法（t-testなど）を使って有効な解決策を見出し、意思決定を支援するための分析能力を身につけます。
Upon completion of this course, the student will be able to
①Understand and explain basic tourism concepts and destination marketing elements.
②Understand the DCOVA framework
③Able to apply statistics to solve business problems
観光業は世界経済の基盤であり、多様なセクターに影響を及ぼす重要な産業です。このコースでは、観光の基本統計を学ぶことにより、業界の健全性とダイナミズムを測る訪問者数、支出パターン、市場シェアなどの指標について理解を深めます。DCOVAフレームワークを核とし、データの収集、整理、視覚化、行動への応用を通じて、体系的な意思決定を促します。実践的なプロジェクトで分析力を養い、業界の意思決定を支援する能力を身に付けます。
The tourism industry is a foundation of the global economy and a significant industry that impacts a variety of sectors. In this course, by learning fundamental tourism statistics, student will deepen student understanding of industry health and dynamism through indicators such as visitor numbers, spending patterns, and market share. At the core of the course is the DCOVA framework, which promotes systematic decision-making through the collection, organization, visualization, and application of data. Through practical projects, student will cultivate analytical skills and develop the ability to support decision-making within the industry.
| 1 | Introduction: Important Things to Learn First |
| 2 | Defining and Collecting Data |
| 3 | Organizing and Visualizing Variables |
| 4 | Numerical Descriptive Measures |
| 5 | The Normal Distribution |
| 6 | Sampling Distributions |
| 7 | Confidence Interval Estimation |
| 8 | Fundamentals of Hypothesis Testing: One-Sample Tests |
| 9 | Two-Sample Tests and One-Way ANOVA |
| 10 | t-Test |
| 11 | Journal article Reading and Discussion (Quantitative） |
| 12 | Student Project |
| 13 | Student Project |
| 14 | Student Project |
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
1.Preparation Activities:
Study basic statistical terms and concepts in advance to gain a preliminary understanding of the topics to be discussed.
Read summaries or introductions to relevant chapters to build a foundation for class discussions.
Find real-world cases in the tourism industry that demonstrate how statistical data can be collected and utilized.
2.Review Activities:
Organize class notes, distilling key concepts and definitions.
Complete any assigned homework or exercises to apply and reinforce the content learned.
Form study groups with classmates to discuss concepts from class and clarify any doubts.
3.Application Activities:
Practice with actual data, such as analyzing tourism-related datasets to exercise statistical skills.
Conduct small research projects, like designing a survey, collecting data, and analyzing it.
Use software tools (e.g., Excel) for practicing data organization, analysis, and visualization.
| 種類 (Kind) | 割合 (%) | 基準 (Criteria) |
|---|---|---|
| 平常点 (In-class Points) | 100 |
In-class Participation (English) (60%) 最終レポート(Final Report)(40%) |
| 備考 (Notes) | ||
| その他 (Others) | |||||
|---|---|---|---|---|---|
| Reading materials will be distributed in class |
| その他 (Others) | |||||
|---|---|---|---|---|---|
| Reading materials will be distributed in class |
Excel