Lectures Applied statistics for business - ThS. Nguyễn Tiến Dũng

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The lecture "Applied statistics for business" provides students with the knowledge: Introduction to the Course, Course Materials, requirements for Students, Main Contents. Invite you to refer to the disclosures.

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Nội dung Text: Lectures Applied statistics for business - ThS. Nguyễn Tiến Dũng

APPLIED STATISTICS FOR BUSINESS Introduction to the Course Nguyen Tien Dung, MBA School of Economics and Management, HUST Email: dung.nguyentien3@hust.edu.vn Website: https://sites.google.com/site/nguyentiendungbkhn
Course Materials ● Anderson, Sweeney & Williams (2014), Statistics for Business and Economics, ● Nguyễn Tiến Dũng (2014), PowerPoint Lecture Notes, download from website: ● https://sites.google.com/site/nguyentiendungbkhn/tkud ● Hoàng Trọng & Chu Nguyễn Mộng Ngọc (2012), Thống kê ứng dụng trong kinh tế - xã hội, NXB Lao động – Xã hội. ● Hoàng Trọng & Chu Nguyễn Mộng Ngọc (2012), Bài tập và Bài giải Thống kê ứng dụng trong kinh tế - xã hội, NXB Lao động – Xã hội. © Nguyễn Tiến Dũng 2
Textbook in English © Nguyễn Tiến Dũng 3
Textbook in Vietnamese © Nguyễn Tiến Dũng 4
Requirements for Students ● Working hard and carefully ● Before going to a class: ● Doing assigned exercises ● Reading the chapter that is being studied in that lecture. ● Must-have tools ● The English textbook ● A scientific calculator ● A laptop (when required by the teacher) ● The teacher has the right to sack the student who did not meet the teacher’s requirements out of the class and the student will receive -1 mark to the process mark © Nguyễn Tiến Dũng 5
Student Performance Assessment ● Process Mark (40%) = 0.5.A + 0.5.B + C ● A = Midterm Exam (A multi-choice test) ● B = Group Assignment (not more than five students per group) ● C = hard-working mark ● Final Exam Markt (60%) ● Multi-choice Test (30%) ● Exercises (70%) © Nguyễn Tiến Dũng 6
Main Contents Chapter Content 1 Data and Statistics Descriptive Statistics: Tabular and Graphical 2 Presentations 3 Descriptive Statistics: Numerical Measures 4 Introduction to Probability 5 Discrete Probability Distributions 6 Continuous Probability Distributions 7 Sampling and Sampling Distributions 8 Interval Estimation 9 Hypothesis Tests 10 Inferences about Population Means 11 Inferences about Population Variances © Nguyễn Tiến Dũng 7
Main Contents (cont.) Chapter Content 12 Comparing Multiple Proportions, Test of Indepence and Goodness of Fit 13 Experimental Design and Analysis of Variance 14 Simple Linear Regression 15 Multiple Regression 16 Regression Analysis: Model Building 17 Time Series Analysis and Forecasting 18 Nonparametric Methods 19 Statistical Methods for Quality Control 20 Index Numbers 21 Decision Analysis 22 Sample Survey © Nguyễn Tiến Dũng 8