# Week 6: Probability and sampling

# Key concepts

- Discrete and continuous variables
- Probability: \(\frac{Number of favorable cases}{Total number of cases}\)
- Normal probability distribution
- Z-scores, also reflect on mean and standard deviation
- Binominal probabilities
- Distribution tables

# Before class

## Required readings

- Meier, K. J., Brudney, J. L., & Bohte, J. (2014). The Normal Probability Distribution. In
*Applied Statistics for Public and Nonprofit Administration*. - Meier, K. J., Brudney, J. L., & Bohte, J. (2014). The Binomial Probability Distribution. In
*Applied Statistics for Public and Nonprofit Administration*. -
**Quick scan**: Meier, K. J., Brudney, J. L., & Bohte, J. (2014). Some Special Probability Distributions. In*Applied Statistics for Public and Nonprofit Administration*.

## Recommended readings

- Klein, G., & Dabney, A. (2013).
*The Cartoon Introduction to Statistics*(First edition). Hill and Wang, a Division of Farrar, Straus and Giroux., Chapters 8

## Video illustrations that are more accessible

You can find more videos to help you comprehend, here is a few.

### The last banana: A thought experiment in probability

### Binomial distributions | Probabilities of probabilities, part 1

### Bayes theorem, the geometry of changing beliefs

# In class

- Lecture on key concepts and frameworks (1.5h).
- In class practice (1h):
- Paper practice
- In-class practice

- Assignment catch-up:
- Qualitative group paper weekly update (15 min).
- Quantitative Test catch-up (15 min).

# After class

- Complete Paper practice
- Review In-class practice