8 Optimal stopping
This chapter covers
- Optimal stopping (aka the 37% rule)
- Regression to the mean
- Creating a frequency table
- Adding a theme to
ggplot2
visualizations - Importing and insetting images into
ggplot2
visualizations - Adding multiple trendlines to a data series
- Creating a derived variable from a substring
There is a popular algorithm called the optimal stopping rule—which is frequently referred to as the 37% rule and sometimes called the look-then-leap rule—that solves the problem of when to take a specific course of action versus continuing to deliberate. Here’s a common use case: Let’s say you’re a hiring manager interviewing candidates for an open role in your organization, and you’re obligated to render a yea or nay decision immediately ...
Get Statistics Slam Dunk now with the O’Reilly learning platform.
O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.