# 752-2110-00L  Multivariate Statistical Analysis

 Semester Spring Semester 2019 Lecturers C. Hartmann, A. Bearth Periodicity yearly recurring course Language of instruction English

### Courses

NumberTitleHoursLecturers
752-2110-00 VMultivariate Statistical Analysis
Permission from lecturers required for all students.
2 hrs
 Thu 10:15-12:00 HG D 12 » 10:15-12:00 HG D 5.2 » 10:15-12:00 HG E 19 »
C. Hartmann, A. Bearth

### Catalogue data

 Abstract The course starts by introducing some basic statistical concepts and methods, e.g. data exploration, the idea behind significance testing, and the use of the statistical software SPSS. Based on these fundaments, the following analyses are discussed: regression analysis, factor analysis and variance analysis. Objective Students will learn to use multivariate analysis methods and to interpret their results, by means of theory and practice. Content This course provides an introduction into the theories and practice of multivariate analysis methods that are used in the fields of food sensory science, consumer behavior and environmental sciences. The course starts by introducing some basic statistical concepts and methods, e.g. data exploration, the idea behind significance testing, and the use of the statistical software SPSS. Based on these fundaments, the following analyses are discussed: regression analysis, factor analysis and variance analysis. During the course, theoretical lectures alternate with practical sessions in which data are analyzed and their results are interpreted using SPSS.Agenda21.02 Introduction to the course and basic concepts of multivariate statistics (Hartmann) in Room HG D5.228.02 Data handling and exploration + SPSS Introduction (Hartmann) 07.03 Exercise 1a+b (Hartmann) 14.03 Basic Statistical Tests (Bearth)21.03 Exercise 2: Basic Statistical Tests (Bearth)28.03 Regression analysis (Hartmann)04.04 Exercise 3: Regression analysis (Hartmann)11.04 Variance Analysis (Bearth) 18.04 Exercise 4: Variance Analysis (Hartmann)02.05 Reliability Analysis (Bearth)09.05 Principle Component Analysis (Bearth) 16.05 Exercise 5: PCA and Reliability Analysis (Hartmann) 23.05 EXAM (Room will be announced) Literature Field, A. (2013). Discovering Statistics Using SPSS (all Editions). Sage Publications. ISBN: 1-4462-4918-2 Prerequisites / Notice This course will be given in English.

### Performance assessment

 Performance assessment information (valid until the course unit is held again) Performance assessment as a semester course ECTS credits 3 credits Examiners C. Hartmann, A. Bearth Type end-of-semester examination Language of examination English Repetition A repetition date will be offered in the first two weeks of the semester immediately consecutive.

### Learning materials

 No public learning materials available. Only public learning materials are listed.

### Groups

 No information on groups available.

### Restrictions

 General : Special students and auditors need a special permission from the lecturersPermission from lecturers required for all students

### Offered in

ProgrammeSectionType
Food Science MasterMethodology SubjectsW
Food Science MasterMethodology SubjectsW
Food Science MasterMethodology SubjectsW
Food Science MasterMethodology SubjectsW
Food Science MasterMethodology SubjectsW
Food Science MasterFood Sensory Science and Consumer BehaviourW
Environmental Sciences MasterModeling and Statistical AnalysisW