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Syllabus MULTIVARIATE DATA ANALY FOR MARKETING/AGRICULTURE - 71965
עברית
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Last update 20-09-2018
HU Credits: 3

Degree/Cycle: 2nd degree (Master)

Responsible Department: Environmental Economics & Management

Semester: 2nd Semester

Teaching Languages: Hebrew

Campus: Rehovot

Course/Module Coordinator: Dr. Dizza Bursztyn

Coordinator Email: Dizza.Bursztyn@mail.huji.ac.il

Coordinator Office Hours: Tuesday 16-17

Teaching Staff:
Dr. Dizza Bursztyn

Course/Module description:
Topics: Analysis of variance. Mann-Whitney and Kruskal-Wallis tests. Regression. Conjoint analysis. Factor analysis. Cluster analysis. Analysis of taste tests. Discriminant analysis. Logistic regression. Using SPSS software.

Course/Module aims:
Learning multivariate statistical methods.
Learning methods for marketing decisions.

Learning outcomes - On successful completion of this module, students should be able to:
Choose the appropriate statistical method for analysis of multivariate data.
Application of advanced statistical methods for multivariate data.
Making marketing decisions based on statistical analysis.
Using of SPSS software.

Attendance requirements(%):
100

Teaching arrangement and method of instruction: Lectures, frontal exercise, homework

Course/Module Content:
Review of statistical methods. SPSS. Analysis of variance. Mann-Whitney and Kruskal-Wallis tests. Regression. Conjoint analysis. Factor analysis. Cluster analysis. Analysis of taste tests. Discriminant analysis. Logistic regression.

Required Reading:
Hair &all: Multivariate Data Analysis

Additional Reading Material:
Churchill, Gilbert A.: Marketing Research - Methodological Foundations
Morgan, Griego and Gloeckner: SPSS for Windows: An Introduction to Use
and Interpretation in Research
Gerber and Voelkl: The SPSS Guide to the New Statistical Analysis of Data
Open University: Research method for social sciences. Units 11 and 12

Course/Module evaluation:
End of year written/oral examination 0 %
Presentation 0 %
Participation in Tutorials 0 %
Project work 60 %
Assignments 40 %
Reports 0 %
Research project 0 %
Quizzes 0 %
Other 0 %

Additional information:
Basic knowledge in SPSS is required.
 
Students needing academic accommodations based on a disability should contact the Center for Diagnosis and Support of Students with Learning Disabilities, or the Office for Students with Disabilities, as early as possible, to discuss and coordinate accommodations, based on relevant documentation.
For further information, please visit the site of the Dean of Students Office.
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