Lecture notes: B. Students must complete homework and exercises using this system.
Modul spss 16 Pc#
In addition, the eLearning system MathCoach-Statistik (AMSEL PC laboratory 5306) will be used. Computer-supported practical case studies will be carried out here using SPSS and R. Makalah disajikan dalam Kegiatan Pelatihan Aplikasi Teknologi dan Komunikasi dalam Pembelajaran Matematika, 16. 16 Complex SamplesRatios 159 UsingComplex Samples Ratios toAidProperty ValueAssessment.
Contacting SPSS If you would like to be on our mailing list, contact one of our offices, listed on our. Statistical data analysis - data mining with statistical methodsĢ.4 Cluster analysis technique data aggregationġ00% of the lecture will take place in the PC lab AMSEL "Angewandte Mathematik, Statistik und eLearning". information about the command syntax for features in this module is provided in the SPSS Command Syntax Reference, available from the Help menu. In addition, they will be able to make statements on the reliability and statistical certainty of their evaluation results.ġ.5 Statistical decisions: hypothesis testing and estimatesĢ. There are therefore 75 hours available for class preparation and follow-up work and exam preparation.Īfter completing this course, students will be able to analyze and evaluate large amounts of data and statistically evaluate it using software. The total student study time is 120 hours (equivalent to 4 ECTS credits). PIB-ERSD (P221-0107) Applied Informatics, Bachelor, ASPO, semester 5, optional course, informatics specificĦ0 class hours (= 45 clock hours) over a 15-week period. 4 SPSS Step-by-Step Variable names and labels 15 Missing values 15 Non-numeric numbers, or when is a number not a number 15 Binary variables 15 Creating a new data set 16 Getting help in creating data sets and defining variables 22 Creating primary reference lists 24 Frequencies 24 Descriptive statistics: descriptives (univariate) 25 Recodes. The independent t test in this study used SPSS 16.
PIBWI94 (P221-0106) Applied Informatics, Bachelor, ASPO, semester 5, optional course, informatics specific Analysis using parametric statistics with the help of SPSS 16. KIB-ERSD (P222-0105) Computer Science and Communication Systems, Bachelor, ASPO, semester 5, optional course, technical KI626 Computer Science and Communication Systems, Bachelor, ASPO, semester 5, optional course, technical Hours per semester week / Teaching method: 2V+2P (4 hours per week) Risk-Based Decision Making and Statistical Data AnalysisĬomputer Science and Communication Systems, Bachelor, ASPO
Risk-Based Decision Making and Statistical Data Analysis Module name (EN): Moduldatenbank - Modul Risk-Based Decision Making and Statistical Data Analysis Obtained data were analysed on SPSS 16 program using descriptive statistics, Mann Whitney-U and Wilcoxon Signed tests.
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