This topic explores concepts in probability, a fundamental building block of quantitative analysis. While students focus on developing the theoretical understanding of these concepts, these concepts can then be applied to policy analysis in many ways. Eventually, students can use these foundational concepts for more advanced applications such as sensitivity analysis in models of cause and effect.
Topic Learning Outcome: Students will be able to analyze and interpret data with detailed working knowledge of important probability concepts.
Core Concepts associated with this Topic: Discrete Random Variable; Likelihood (in relation to Risk); Predictability.
Carleton University: PADM 5114W Research Methods and Design II
Moore, D., McCabe G., & Craig, B. 2009. "Chapter 4: Probability: The Study of Randomness." Introduction to the Practice of Statistics, Sixth Edition. New York: W. H. Freeman and Company.
Harvard Kennedy School: API-201 Quantitative Analysis and Empirical Methods
Moore, McCabe, and Craig. Chapter 4 and Section 1.3 in Chapter 1. In Introduction to the Practice of Statistics, 8th Edition.
Sample Assessment Questions:
1.) What is a random variable in statistics?
Page created by Sean Goertzen and Ben Eisen on 9 May 2015.