Reading materials | Log reading progress ("reading_log")

Key concepts


Before class


Required readings

  • Meier, K. J., Brudney, J. L., & Bohte, J. (2015). Applied Statistics for Public and Nonprofit Administration (Ninth edition). Cengage Learning., Chapters 10 & 11
  • Gordon, R. A. (2012). Applied Statistics for the Social and Health Sciences. Routledge., Chapter 6. Section 6.2-6.4
  • Introduction to Bootstrapping in Statistics with an Example. (2018). Statistics By Jim. http://statisticsbyjim.com/hypothesis-testing/bootstrapping/
  • Klein, G., & Dabney, A. (2013). The Cartoon Introduction to Statistics (First edition). Hill and Wang, a Division of Farrar, Straus and Giroux., Chapters 8, 9 & 10
  • Moore, D. S., McCabe, G. P., & Craig, B. A. (2014). Introduction to the Practice of Statistics (Eighth edition/Student edition). W.H. Freeman and Company, a Macmillan Higher Education Company., Chapter 6.3 & 6.4
  • Wonnacott, T. H., & Wonnacott, R. J. (1990). Introductory Statistics (5th ed). Wiley., Chapters 8, 9.1-9.4 & 9.6
  • The New York Times (Ed.). Bunnies, Dragons and the ’Normal’ World: Central Limit Theorem | The New York Times. Retrieved August 25, 2021, from https://www.youtube.com/watch?app=desktop&v=jvoxEYmQHNM

Bunnies, Dragons and the ‘Normal’ World: Central Limit Theorem

P-hacking and replication

In class


Take the pre-lecture survey here.


Empirical studies as examples


TBD.