Course Description
This course emphasizes the advanced statistical techniques used for inferential approaches to the business and social problems and helps the trainee to improve new aspects for the solutions under the significancies provided by SPSS analysing features. The techniques are especially necessary for the experiments(events) that have two or more factors which impact one or more factors of the subject concerned. In real life, the problems have some factors that each has an effect on to the result, either positively or negatively concluded. However, generally their effect is considered as contributed way with all other factors. On the other hand to evalute such an impact onto the result is a complex problem for the managers or researchers. The program will give a remarkable perspective to the trainee to make confident predictions for the solutions about such multivarite problems by some compact practises focused on to the technique.
Course Objectives
- Understanding basics of statistics and reliability analysis
- Being familiar with two-way ANOVA, MANOVA and ANCOVA
- Understanding multiple regression, logistical regression, factor analysis and log-linear analysis.
Who Should Attend?
- Statistical managers
- Data miners or researchers
- Anyone wants to learn more about the statistical practises and using statistical methods
Course Details/Schedule
- Review of descriptive statistics and exploratory data analysis
- Introducing to inferential statistics
- Multivariate statistics and analysing techniques in SPSS
- Reliability analysis
- One-way Anova
- Two-way Anova
- Multiple comparisons in ANOVA
- MANOVA
- ANCOVA
- Nonparametric statistics Mann-whitney U test Wilkcoxon signed-ranks test
- Nonparametric statistics Chi-square tests and median test
- Factor analysis
- Log-linear analysis
- Multiple regression
- Binomial logistic regression
- Multinominal logistic regression
