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

1. Meier, K. J., Brudney, J. L., & Bohte, J. (2014). Frequency Distributions. In Applied Statistics for Public and Nonprofit Administration.
2. Meier, K. J., Brudney, J. L., & Bohte, J. (2014). Measures of Central Tendency. In Applied Statistics for Public and Nonprofit Administration.
3. Meier, K. J., Brudney, J. L., & Bohte, J. (2014). Measures of Dispersion. In Applied Statistics for Public and Nonprofit Administration.
4. Kirk, A. (2019). The Visualisation Design Process. In Data Visualisation: A Handbook for Data Driven Design (2nd edition, pp. 31–58). SAGE Publications Ltd.
5. 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)

After class

• Learning plan proposal (final) due this week.
• Complete Paper Practice of W5
• Review In-class Practice of W5