Titlebook: Curve Ball; Baseball, Statistics Jim Albert,Jay Bennett Book 2001 Springer Science+Business Media New York 2001 average.baseball.probabilit

親屬

誘導(dǎo)

Introducing Probability, AL hitters. With this basic knowledge, we know what’s being said, statistically speaking, when someone declares, “Roberto Alomar had a .422 on-base percentage in 1999.” We know that the value .422 is large relative to the entire distribution of OBPs. (See the stemplot of 1999 AL OBPs in Figure 2–3 of Chapter 2.)

genuine

耕種

Simple Models from Tabletop Baseball Games,hurried to the nearest available TV or computer to play the latest electronic game, but this was the 1950s, when Nintendo could only have been another monster intent on devouring Tokyo. Baseball was still the dominant sport in America, and if you couldn’t play baseball outdoors, the next best thing

沉積物

apiary

Introducing Probability, used in some popular tabletop games. In Chapter 2, we looked at graphical and descriptive methods that, while simple, are the fundamental tools and models used by all statisticians. In particular, Chapter 2 used the example of on-base percentage (OBP) data to describe and analyze the performance of

DIS

Streakiness (or, The Hot Hand),ticular player that in the last few games, or weeks, or even months, he’s had a “hot” or “cold” hand. And it seems entire teams can go on a streak, as we found when we did an Internet search for the words “streaky” and “hot hand”: “Streaky in Spring” —., March 24, 1998

AWRY

輕信

災(zāi)難

Making Sense of Baseball Strategy,modern measures of hitting performance. Also, we introduced some statistical tools that are helpful in evaluating other baseball issues. In this chapter, we’ll show how these same tools are helpful in making sense of three popular Major League strategies.