日本語 English
| 開講年度/ Academic YearAcademic Year |
20232023 |
| 科目設置学部/ CollegeCollege |
経済学部/College of EconomicsCollege of Economics |
| 科目コード等/ Course CodeCourse Code |
自動登録/automatic registrationautomatic registration |
| テーマ・サブタイトル等/ Theme・SubtitleTheme・Subtitle |
推測統計学入門 |
| 授業形態/ Class FormatClass Format |
対面（全回対面）/Face to face (all classes are face-to-face)Face to face (all classes are face-to-face) |
| 校地/ CampusCampus |
池袋/IkebukuroIkebukuro |
| 学期/ SemesterSemester |
秋学期/Fall semesterFall semester |
| 曜日時限・教室/ DayPeriod・RoomDayPeriod・Room |
水2･8202/Wed.2･8202 Wed.2･8202 |
| 単位/ CreditCredit |
22 |
| 科目ナンバリング/ Course NumberCourse Number |
ECX1310 |
| 使用言語/ LanguageLanguage |
日本語/JapaneseJapanese |
| 備考/ NotesNotes |
BX282 経済学科１年次 登録クラスは履修登録状況画面で確認すること。 |
| テキスト用コード/ Text CodeText Code |
BX282 |
To be able to understand the relationship between the population and its sample, and the relationship between the normal distribution, chi-squared distribution, and t distribution so that by the end of the course students will be able to conduct hypothesis testing of assumptions about the normal distribution, etc., and perform regression analysis.
Students comprehensively learn the points of inferential statistics. To be able to understand the relationship between the population and its sample, and the relationship between the normal distribution, chi-squared distribution, and t distribution so that by the end of the course students will be able to conduct hypothesis testing of assumptions and confidence interval for the normal distribution, etc. Finally, students will become able to perform regression analysis, interpret the distribution results, and conduct hypothesis testing.
※Please refer to Japanese Page for details including evaluations, textbooks and others.
母集団と標本の関係や、正規分布とカイ二乗分布、t分布の関係を理解しながら最終的に正規分布などを仮定して仮説検定、回帰分析を行えるようにする。
To be able to understand the relationship between the population and its sample, and the relationship between the normal distribution, chi-squared distribution, and t distribution so that by the end of the course students will be able to conduct hypothesis testing of assumptions about the normal distribution, etc., and perform regression analysis.
推測推測統計学の要点を網羅的に学ぶ。母集団と標本の関係や、正規分布とχ二乗分布、t分布の関係を理解しながら正規分布などを仮定して信頼区間の推定や仮説検定を行えるようにする。最終的に回帰分析を行い、分析結果の解釈と仮説検定をできるようにする。
Students comprehensively learn the points of inferential statistics. To be able to understand the relationship between the population and its sample, and the relationship between the normal distribution, chi-squared distribution, and t distribution so that by the end of the course students will be able to conduct hypothesis testing of assumptions and confidence interval for the normal distribution, etc. Finally, students will become able to perform regression analysis, interpret the distribution results, and conduct hypothesis testing.
| 1 | 確率の概念 |
| 2 | 確率分布(離散的確率分布、正規分布他) |
| 3 | 正規分布と標準化 |
| 4 | 標準正規分布表と演習 |
| 5 | 不偏推定量と標本分布 |
| 6 | 大数の法則と中心極限定理 |
| 7 | 信頼区間の推定(t分布、母分散未知小標本の場合を中心に) |
| 8 | カイ2乗分布、母分散の区間推定 |
| 9 | F分布 |
| 10 | 仮説検定の基本 |
| 11 | 仮説検定の応用(有意水準、検出力) |
| 12 | 2群の平均の差の検定 |
| 13 | 回帰分析(分析事例、結果の読み方) |
| 14 | 回帰分析の注意点 |
授業外の時間で、実際に授業で出された問題を計算して解き方を復習する必要がある。また授業で課題・レポートを課された場合、期限までに提出すること。
| 種類 (Kind) | 割合 (%) | 基準 (Criteria) |
|---|---|---|
| 筆記試験 (Written Exam) | 70 | |
| 平常点 (In-class Points) | 30 |
授業内提出物(課題・レポート)(30%) |
| 備考 (Notes) | ||
なし/None
| No | 著者名 (Author/Editor) | 書籍名 (Title) | 出版社 (Publisher) | 出版年 (Date) | ISBN/ISSN |
|---|---|---|---|---|---|
| 1 | 栗原伸一 | 『入門統計学』 | オーム社 | 2021 | 9784274227387 |
| 2 | 栗原伸一・丸山敦史 | 『統計学図鑑』 | オーム社 | 2017 | 9784274220807 |
この科目は社会調査士認定D科目に指定されている。授業に関連して社会情報教育研究センター(https://spirit.rikkyo.ac.jp/csi/SitePages/index.aspx)を通じて統計検定を受験して資格取得することも可能である。