# Week 4: Descriptive statistics

# Key concepts

- Describe distribution (frequency, percentiles) (Meier et al., 2014)
- Describe central tendency (mean, weighted mean, median, mode) (Meier et al., 2014)
- Describe dispersion (standard deviation, skewness) (Meier et al., 2014)
- Statistical graphs and data visualization (Kirk, 2019; Kirk, 2019)

# Before class

## Required readings

- Meier, K. J., Brudney, J. L., & Bohte, J. (2014). Frequency Distributions. In
*Applied Statistics for Public and Nonprofit Administration*. - Meier, K. J., Brudney, J. L., & Bohte, J. (2014). Measures of Central Tendency. In
*Applied Statistics for Public and Nonprofit Administration*. - Meier, K. J., Brudney, J. L., & Bohte, J. (2014). Measures of Dispersion. In
*Applied Statistics for Public and Nonprofit Administration*. - Kirk, A. (2019). The Visualisation Design Process. In
*Data Visualisation: A Handbook for Data Driven Design*(2nd edition, pp. 31–58). SAGE Publications Ltd. - Kirk, A. (2019). Working With Data. In
*Data Visualisation: A Handbook for Data Driven Design*(2nd edition, pp. 95–117). SAGE Publications Ltd.

# In class

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

- Catch up on major assignments:
- Qualitative group paper (15min)
- Quantitative test (15min)