-- Note: Readme is not complete. Notebooks are annotated.

Topics

1. Central Limit Theorem
2. Likelihood versus Probability
3. Standard Deviation Heuristics with Normal Distribution
4. Distribtion Comparisons (t-distribution and normal distribution)
5. Meaning of Test Statistics, t-value and z-value
6. Application of Distributions - t-tests and confidence intervals
7. Evaluation of Errors, $\alpha, \beta$
8. Normality Tests

Packages

• Scipy
• Statsmodels
• pyMC3
• pingouin

Contents

	Truth about Population
Hypothesis	True Effect ($H_1$)	No Effect ($H_0$)
Reject $H_o$	True	Type I / Alpha Error
Fail to Reject $H_o$	Type II / Beta Error	True