Quantitude S2E32: Lies, Damned Lies, and Random Samples with Laura Stapleton
4 snips
Apr 27, 2021 Laura Stapleton, an economist and sampling design expert, joins the hosts to discuss lies in statistics and the different types of sampling issues. They explore the assumption of normality, stratified sampling, and the importance of understanding the population of inference. They also introduce the funded project called the generalizer, which helps researchers select schools for intervention research. The podcast concludes with expressions of gratitude and a promotional message.
Chapters
Transcript
Episode notes
1 2 3 4 5 6 7
Introduction
00:00 • 3min
Practical Jokes, Parental Tricks, and Coping Mechanisms
02:43 • 2min
Lying and Assumptions in Statistics
04:34 • 4min
Introduction of Dr. Laura Stapleton and her Career Journey
08:51 • 7min
Different Types of Sampling Issues
16:08 • 27min
The Generalizer: Utilizing Nationwide Data for School-Based Intervention Research
42:58 • 10min
Expressing Thanks and Promoting Sponsors
52:57 • 2min