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Course Outline
Preparing a Database for Analysis
- Managing data collection processes
- Performing operations on variables
- Transforming selected variables using functions such as logarithmic or exponential transformations
Parametric and Nonparametric Statistics: Fitting Models to Data
- Understanding measurement scales
- Identifying distribution types
- Handling outliers and influential observations
- Determining appropriate sample size
- Applying the central limit theorem
Investigating Differences Between Statistical Characteristics
- Conducting tests based on means and medians
Analyzing Correlations and Similarities
- Examining correlations
- Performing principal component analysis
- Conducting cluster analysis
Prediction: Simple and Multivariate Regression Analysis
- Applying the least squares method
- Utilizing linear models
- Implementing instrumental variable regression models (dummy coding, effect coding, orthogonal coding)
Statistical Inference
Requirements
Participants should possess foundational knowledge of SPSS and basic statistics. Completion of the SPSS Statistics Predictive Analytics Software training is required.
28 Hours
Testimonials (3)
knowledge of the trainer, tailor based, all topics covered
eleni - EUAA
Course - Forecasting with R
The variation with exercise and showing.
Ida Sjoberg - Swedish National Debt Office
Course - Econometrics: Eviews and Risk Simulator
The real life applications using Statcan and CER as examples.
