Scientific Approach and Metrology Introduction

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Page 3 of 4

Differential Privacy: Partial Secrecy

Explains Differential Privacy focusing on Partial Secrecy, data base distance, and randomized mechanisms.

Describing Data: Statistics and Hypothesis Testing

Covers descriptive statistics, hypothesis testing, and correlation analysis with various probability distributions and robust statistics.

Hypothesis Testing: Neyman-Pearson Framework

Covers hypothesis testing, types of errors, Neyman-Pearson framework, and one-sided Gaussian tests.

Heteroskedasticity: Ch. 4a

Explores heteroskedasticity in econometrics, discussing its impact on standard errors, alternative estimators, testing methods, and implications for hypothesis testing.

Statistical Hypothesis Testing

Covers statistical hypothesis testing, confidence intervals, p-values, and significance levels in hypothesis testing.

Experimental Design in Biostatistics

Introduces experimental design in biostatistics, covering research process, hypothesis testing, ANOVA modeling, and interpretation of results.

Basics of Linear Regression

Covers the basics of linear regression, including OLS estimators, hypothesis testing, and confidence intervals.

Testing: Specification Testing

Covers classical hypothesis testing, specification testing, and errors in hypothesis testing in choice models.

Specification Testing

Covers specification testing in choice models, highlighting the impact of errors.

Hypothesis Testing: Neyman-Pearson Framework

On hypothesis testing explores the Neyman-Pearson framework, test functions, errors, and likelihood ratio tests.