シラバス参照

講義概要／Course description

科目一覧へ戻る

2012/09/20 現在

科目基礎情報／Course information

開講元学部／Faculty	国際教養学部／FACULTY OF LIBERAL ARTS
開講元学科／Department
登録コード／Registration Code	AIBE3400
期間／Period	2012年度／Academic Year 　　春学期／SPRING
曜限／Period	火/Tue　3 , 金/Fri　3
科目名／Course title	ECONOMIC STATISTICS*／ECONOMIC STATISTICS
教員表示名	OZAKI Valerie
主担当教員名／Instructor	尾崎　ヴァレリー／OZAKI VALERIE
単位数／Credits	4
更新日／Date of renewal	2012/03/23

講義概要情報／Course description 　　　[top]　[outline]　[bottom]

講義概要 ／Course description	IMPORTANT:  Please make sure to come to the first class, since there is only room for 40 students in this class. Usually there is enough room in class, but if there are too many students wishing to register, priority will be given in order of seniority (most senior students first). The statistical methods most widely used in economics and business are described together with their applications. Topics include hypothesis testing, analysis of variance, regression models, correlation, and econometric model-fitting. Prerequisites: Basic Computer Knowledge MTH111 (Mathematics and Statistics for Business and Economics) or equivalent
他学部・他研究科受講可否 ／Other departments' students	可／Yes ※要覧記載の履修対象とする年次を確認すること。 Please make sure to confirm the student year listed in the bulletin.
評価基準・割合 ／Evaluation	レポート／Report　（40.0％） 春学期学期末試験（定期試験期間中）／Spring Semester final exam(during exam period)　（30.0％） 中間試験／Mid-term exam　（30.0％）
テキスト1／Textbooks1	著者名／Authors　：Gerald Keller 書名／Title　：Managerial Statistics - 8th edition 出版社・出版年／Publisher.Year　：South-Western
参考書／Readings	自由記述／Free Text　：Readings will be posted on Moodle
必要外国語 ／Required foreign languages	English
講義概要HP URL ／URL of syllabus or other information	http://nakama.cc.sophia.ac.jp/course/view.php?id=164

講義スケジュール／Schedule 　　　[top]　[outline]　[bottom]

授業計画／Class schedule

1.The syllabus and class schedule will be posted on Moodle and will also be handed out in the first class. Revision of Probability Distributions. Binomial Distribution 2.Normal Distribution 3.Sampling Distributions 4.Sampling Distributions 5.Confidence Intervals 6.Introduction to hypothesis testing 7.NATIONAL HOLIDAY 8.Hypothesis testing for a single mean (large samples) p-values. Power of a test. 9.Hypothesis testing for a single mean (small samples) 10.Hypothesis testing for comparing means from independent populations(large samples) 11.Hypothesis testing for comparing means from independent populations(small samples) 12.Paired Comparisons 13.Hypothesis testing for proportions 14.Contingency tables. Chi-square test. 15.MID-TERM 16.Introduction to Analysis of Variance 17.One and two-way Analysis of Variance. Completely Randomized design, Randomized Block design, Factorial Experiment. Confidence Intervals 18.One and two-way Analysis of Variance. Completely Randomized design, Randomized Block design, Factorial Experiment. Confidence Intervals 19.One and two-way Analysis of Variance. Completely Randomized design, Randomized Block design, Factorial Experiment. Confidence Intervals 20.One and two-way Analysis of Variance. Completely Randomized design, Randomized Block design, Factorial Experiment. Confidence Intervals 21. Linear Regression, correlation. 22. Linear Regression, correlation. 23. Linear Regression, correlation. 24.Multiple Linear Regression.  Fitting the best regression model.   25.Multiple Linear Regression.  Fitting the best regression model.   26.Multiple Linear Regression.  Fitting the best regression model.   27.Problems of multiple regression, such as multicollinearity and autocorrelated errors. 28.Problems of multiple regression, such as multicollinearity and autocorrelated errors. 29.Problems of multiple regression, such as multicollinearity and autocorrelated errors.