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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 and exponential transformations
Parametric and Nonparametric Statistics: Fitting Models to Data
- Understanding measurement scales
- Identifying distribution types
- Detecting outliers and influential observations
- Evaluating sample size requirements
- Applying the central limit theorem
Analyzing Differences in Statistical Characteristics
- Utilizing tests based on means and medians
Correlation and Similarity Analysis
- Conducting correlation analyses
- Performing principal component analysis
- Executing cluster analysis
Prediction: Single Regression and Multivariate Analysis
- Applying the least squares method
- Working with Linear Models
- Implementing instrumental variable regression models (including dummy, effect, and orthogonal coding)
Statistical Inference
Requirements
Participants should possess prior knowledge of SPSS and fundamental statistical concepts. Attendance requires completion of the training for SPSS Statistics Predictive Analytics Software.
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.
