STAT 101: Day 3 Data Collection: Experiments and

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STAT 101: Day 3 Data Collection: Experiments and Observational Studies 12312 Association versus Causation Confounding Variables Observational Studies vs Experiments Randomized Experiments Section 1.3 Professor Kari Lock Morgan Duke

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01
STAT 101: Day 3
Data Collection: Experiments and Observational Studies
1/23/12 Association versus Causation
Confounding Variables
Observational Studies vs Experiments
Randomized Experiments Section 1.3 Professor Kari Lock Morgan
Duke University<br>
02
From a list of six guesses and hopes for how university teaching will evolve:

6. “Courses of study will place much more emphasis on the analysis of data. Gen. George Marshall famously told a Princeton commencement audience that it was impossible to think seriously about the future of postwar Europe without giving close attention to Thucydides on the Peloponnesian War. Of course, we’ll always learn from history. But the capacity for analysis beyond simple reflection has greatly increased (consider Gen. David Petraeus’s reliance on social science in preparing the army’s counterinsurgency manual).

As the “Moneyball” story aptly displays in the world of baseball, the marshalling of data to test presumptions and locate paths to success is transforming almost every aspect of human life. …” What You (Really) Need to Know
- Larry Summers, NY Times, 1/20/12<br>
03
DATA Data Collection Population<br>