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Course Outline
Preparing a Database for Analysis
- Managing data collection
- Performing operations on variables
- Transforming selected variables using functions (e.g., logarithmic, exponential)
Parametric and Nonparametric Statistics: Fitting Models to Data
- Measurement scales
- Distribution types
- Outliers and influential observations
- Sample size considerations
- The Central Limit Theorem
Examining Differences in Statistical Characteristics
- Tests based on means and medians
Analysing Correlations and Similarities
- Correlations
- Principal Component Analysis
- Cluster Analysis
Prediction: Single Regression and Multivariate Analysis
- The Least Squares Method
- Linear Models
- Instrumental Variable Regression Models (dummy, effect, and orthogonal coding)
Statistical Inference
Requirements
Existing knowledge of SPSS and statistical fundamentals. Participants must have completed the SPSS Statistics Predictive Analytics Software training.
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.
