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Course Outline
Preparing a database for analysis
- managing data collection
- performing operations on variables
- transforming selected variables using functions (logarithmic, exponential, etc.)
Parametric and nonparametric statistics, or how to fit a model to the data
- measuring scales
- distribution types
- outliers and influential observations
- sample size considerations
- the central limit theorem
Examining differences between statistical characteristics
- tests based on means and medians
Analysis of correlation and similarities
- correlations
- principal component analysis
- cluster analysis
Prediction - single regression analysis and multivariate
- the least squares method
- Linear Model
- instrumental variable regression models (dummy, effect, orthogonal coding)
Statistical Inference
Requirements
Participants must have prior knowledge of SPSS and the fundamentals of statistics. Completion of the SPSS Statistics Predictive Analytics Software training course 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.
