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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
- Understanding measurement scales
- Identifying distribution types
- Handling outliers and influential observations
- Determining sample size
- Applying the central limit theorem
Examining Differences in Statistical Characteristics
- Conducting tests based on means and medians
Analysis of Correlation and Similarity
- Analyzing correlations
- Performing principal component analysis
- Conducting cluster analysis
Prediction: Single Regression Analysis and Multivariate Methods
- Utilizing the method of least squares
- Working with Linear Models
- Applying instrumental variable regression models (dummy, effect, and orthogonal coding)
Statistical Inference
Requirements
Participants should have prior knowledge of SPSS and fundamental 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.
