Download Curve Ball: Baseball, Statistics, and the Role of Chance in by Jim Albert PDF

By Jim Albert

A glance at baseball info from a statistical modeling point of view! there's a fascination between baseball fanatics and the media to gather information on each conceivable occasion in the course of a 3-hitter and this publication addresses a couple of questions which are of curiosity to many baseball fanatics. those comprise easy methods to fee avid gamers, expect the result of a online game or the attainment of an success, making experience of situational facts, and identifying the main beneficial gamers on this planet sequence. geared toward a normal viewers, the textual content doesn't think any earlier heritage in chance or information, even though an information of highschool abgebra might be beneficial.

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Extra info for Curve Ball: Baseball, Statistics, and the Role of Chance in the Game (2003)

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37 The stemplot in Figure 2-3 shows us the OBP values for all 108 38 American League regular players. It may be easier to see the pat- 39 tern of OBPs by rotating the stemplot display 90 degrees so that 40 41 42 43 the small OBPs are on the left. ) This display tells us a lot about the pattern of OBPs for all American League regulars. The first thing we notice in Figure 2-4 is the general shape of 44 the group of OBPs. 400. 200s. In Figure 2-5, we draw a smooth curve over the OBP values. This smooth mound-shaped curve is called a normal curve—it’s a popular curve in statistics for representing a group of measurements.

The difference in their lines resides in their intercepts, or starting point: the point at which the line crosses the y axis. 023, as described earlier. 5) but a different intercept. Thus, the relative skills of pitchers are represented by shifting the line up or down. The SOM model, in terms of consistency, is an improvement over the APBA model. The pitcher with better ability will tend to be better in all situations. The additivity described above guarantees this feature. On the other hand, something is lost as well: the interaction between pitcher and batter is not taken into account.

55 R. 45 ON-BASE PERCENTAGE FIGURE 2-12 Scatterplot of OBP and SLG for 1999 American League regulars. 5 times the distance between the upper and lower quartiles. Then one computes a LOWER FENCE which is equal to the lower quartile minus a STEP, and a UPPER FENCE which is equal to the upper quartile plus a STEP. Any data items that are smaller than the LOWER FENCE or are greater than the UPPER FENCE are called outliers which may deserve special attention. E X P L O R I NG B A S E B A L L DATA 39 to hitting, namely a batter’s ability to advance runners already on base.

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