Key concepts

• Standard errors (Meier et al., 2015)
• Sampling distribution (Gordon, 2012)
• Law of large numbers
• Bootstrapping and Central Limit Theorem (Introduction to Bootstrapping in Statistics with an Example, 2018; Gordon, 2012)
• Confidence Intervals and p-values (Introduction to Bootstrapping in Statistics with an Example, 2018; Gordon, 2012)
• Student’s t-distributions (Meier et al., 2015)
• Null and alternative hypoteses (Meier et al., 2015; Gordon, 2012)
• One and two-tailed tests (Meier et al., 2015; Gordon, 2012)
• Type I and type II error (Meier et al., 2015)
• Sample size (Meier et al., 2015)

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
• 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

Recommended readings

• Gordon, R. A. (2012). Applied Statistics for the Social and Health Sciences. Routledge., Chapter 6. Section 6.2-6.4
• 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.
• Lecture on key concepts
• Catch up on assignments and hands-on practice:
  • Replication project pitch
  • Qualitative Test catch-up and clarification
  • Quantitative Test hands-on