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About the course

Perfect knowledge of general statistics
- descriptive statistics
- inductive statistics;
- Perfect conceptual master of specific concepts like
  - Random Variable
  - Distribution
  - Parameters´
  - Estimator
  - Estimate
  - Estimators main properties
  - Confidence intervals (relevant)
  - Hypothesis testing (optional)
  - Central limit Theorem (relevant)

· Cover basic theoretical and practical aspects of survey sampling;

· Familiarize participants with sampling terminology and the general objectives of sample surveys;

· Present the classical statistical sampling methods, conditions and situations where each one is appropriate;

· Provide practice in applying the sampling methods discussed in class and the calculations of sample dimensions, desired estimates and their measures of precision;

Be able to apply new knowledge in a daily work environment.

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Assessment

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Bibliography

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