Syllabus Multivariate Statistics 4th Semester Edi Ariyanto, SE, MSI Lecturer

Subject Description 1.Multivariate statistics course is a compulsory subject and have to take by students from Faculty of Economics Andalas University. 2.The students who want to take this subject have to pass on Economic Statistics firstly. 3.As an advanced tools subject, This course offers complicated and full of data processing, especially using a lot of variables analysis. 4.In addition, the using of computer devices will be very substantial and helpfull, for this reason, student is suggested to bring and use computer device (notebook) to calculate data, Windows packaging software such as Microsoft Excell, is relevant to uses as well as SPSS Software.

Objectives. 1.Knowing and understanding how to calculating and processing data. 2.Understand and have the ability to analyze data more than 2 variables. 3.Able to interpret results of data processing.

Student Evaluation and Assesment Only Students which minimum attending more than 75% are allowed taking final test. Student assestments composition are: 1.Mid Test ± 30% (?) 2.Final Test ± 40% (?) 3.Assignment and Class participation ± 30% (?)

Literature 1.Walpole, R.E, Raymond H. Myers, S.H. Myers, Keying Ye (2002). Probability and Statistics for Engineers and Scientists, 7 th. Edition, Prentice Hall, Inc, New Jersey 2.Kvanli, Alan H, R.J Pavur, K. B. Keeling (2003). Introduction to Business Statistics, 6 th. Edition, Thomson South Western. 3.Iman, Ronald L. & J Conover (1983), Modern Business Statistics, John Wiley and Sons, New York. 4.Dillon, William R, Matthew Goldstein (1984), Multivariate Analysis, John Wiley and Sons, Canada. 5.Sprent, P. (1989), Applied Nonparametric Statistical Methods, Chapman and Hall. 6.Others Relevant books

Subject Content (Tentative) TopicMeetingTopic ContentAssignmentAsisten/Lab Learning Process Explaination 1 1.Syllabus Expl. 2.Teaching MEthod 3.Student Task and Assignment 4.Assessment 5.Review Student ability on economic statistics For 2nd meeting, Student have to collect primary data that are consist of nominal, ordinal and numeric variable. Discuss the Assignmen for 2nd meeting. Validitas dan Reabilitas Test 2 1.Reabilitas and Validitas Expl. 2.Giving cases 3.Tutorial how to computing data. 4.Treatment Input primary data using relevant software (Microsoft Excell or SPSS) Exercise how to run Reabilitas and Validitas Factorial Analysis- Consept and Theory 3 Explain Faktorial consept (Loading Factor) Make Resume : Factorial Analysis Exercise how torun Factorial Analysis 4 Explain Faktorial consept (continue) 1.Interpreat Output. 2.Discussion Submit student resume Exercise how to run Factorial Analysis (continue) Regresion and Linier Correlation 5 1.Explain consept. 2.Explain type of correlation (Pearson and Spearmen Correlation) 3.Explain of Parsial (r), Determinant (R 2 ) and Adjusted Coeffisien (Adjusted R 2 ) Compute data and interpret it. Exercise how to run correlation technique data and interpret output (continue) 6 1.Tutorial Regression technique using spss software 2.Explain how to interpret output Compute data and interpret it. Exercise how to regress data and interpret output (continue) 7Review All Topic General Exercise adn Mid tes preparation Discussion MID SEMESTER (8)

TopicMeeting Logistic Regression9-11 Cluster Test12-13 Assumption Test14-15 General Review16 FINAL TES After Mid Semester

STATISTIC FOR ECONOMICS Review

1. DESCRIPTIVE STATISTICS * Introduction of data, what is statistics * Distribution of Frequency and data presentation * Measure of central tendency * Dispersion 2.Index Number 3.Trend Analysis (Time Series Data) 4.Estimation 5.Simple Regression and correlation Analysis