We will handle the following assignments in R Programming for you;
Introduction to Empirical Economics
1. Introduction to Data
2. Data Visualization
3. Introduction to Probability
4. Random Variables and their Distributions
5. Important Distributions
6. Statistical Inference
7. Estimation
8. Analysing the Posterior Distribution
9. Estimating Single Parameters
10. Estimating the Difference Between Population Means
11. Estimating Regression and Correlation Models
12. Introduction to frequentist inference
13. Hypothesis testing in the frequentist paradigm
14. Examples of Common Inferential Problems (NHST)
15. What is wrong with NHST
16. Comparison of frequentist and Bayesian Inference
17. Another Approach: Likelihoodism

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