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Statistics and Baseball

Tuesday, June 20, 2006. Situational Data and Streakiness. The last couple of days we're discussed several types of data where people get confused about ability relative to performance. First let's discuss situational stats:. Suppose you have hitting averages (say AVGs or OBPs) for many players. How do we know if the differences in averages are due to real difference in batting abilities or to chance variation? The public is fascinated with long streaks and slumps, the most famous being Joe DiMaggio's 56-...

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Statistics and Baseball | bstats.blogspot.com Reviews

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Tuesday, June 20, 2006. Situational Data and Streakiness. The last couple of days we're discussed several types of data where people get confused about ability relative to performance. First let's discuss situational stats:. Suppose you have hitting averages (say AVGs or OBPs) for many players. How do we know if the differences in averages are due to real difference in batting abilities or to chance variation? The public is fascinated with long streaks and slumps, the most famous being Joe DiMaggio's 56-...

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1 statistics and baseball

2 what about streakiness

3 the post game show

4 the pregame show

5 ability and performance

6 and his performance

7 spinner game

8 big league baseball

9 contributors

10 jim albert

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Statistics and Baseball | bstats.blogspot.com Reviews

https://bstats.blogspot.com

Tuesday, June 20, 2006. Situational Data and Streakiness. The last couple of days we're discussed several types of data where people get confused about ability relative to performance. First let's discuss situational stats:. Suppose you have hitting averages (say AVGs or OBPs) for many players. How do we know if the differences in averages are due to real difference in batting abilities or to chance variation? The public is fascinated with long streaks and slumps, the most famous being Joe DiMaggio's 56-...

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bstats.blogspot.com

1

Statistics and Baseball: Ability and Performance

http://bstats.blogspot.com/2006/06/ability-and-performance.html

Tuesday, June 13, 2006. Today we started talking about learning from data. Here are the main things we talked about:. There is a distinction between a player's ability. An ability is an intrinsic quality of a player, say his batting talent, that we really don't know exactly. We do observe a player's performance, say his batting average for a particular season. The objective of Statistics is to learn about a player's ability on the basis of his performance. In Fathom we did a simulation experiment in two ...

2

Statistics and Baseball: Spinner Game

http://bstats.blogspot.com/2006/06/spinner-game.html

Monday, June 12, 2006. Sorry I was away for a couple of days last week. But I understand Sherwin was helpful in getting you to make your spinners and understanding binomial experiments. Today we played game between the "All Stars" (your spinners) and "ASB's" (my spinner cards from the All Star Baseball Game). Here are the highlights of our game:. The ASBs won the game 17-14! Although the ASBs won the game, their pitcher was pretty wild. The All-Stars had 11 walks during the game. Comments: Post a Comment.

3

Statistics and Baseball: The Pregame Show

http://bstats.blogspot.com/2006/06/pregame-show.html

Wednesday, June 14, 2006. Today we had a short class since we'll be going to the Mud Hens game tonight. I passed out scoresheets and directions to the ballpark. I should be easy to spot since I'll be wearing a Phillies cap. There is a short assignment that goes along with the ballgame. In this assignment, I want you to. Score a couple of innings. Identify the players who have the best AVG and best OBP for this game. Find the key play (the one that was most influential in the team's victory).

4

Statistics and Baseball: The Post-Game Show

http://bstats.blogspot.com/2006/06/post-game-show.html

Thursday, June 15, 2006. Today we talked about the Mud Hens - Sky Chiefs game we watched last night. Here are some things we discussed. The most significant plays were the clutch hits for the Sky Chiefs in the top of the 2nd inning. Was there luck in the game? There were several base hits that barely missed the infielders. There was a lucky bloop single by a hitter who was fooled by the pitch. We talked more about estimating a player's ability on the basis of his performance. Comments: Post a Comment.

5

Statistics and Baseball: Big League Baseball

http://bstats.blogspot.com/2006/06/big-league-baseball.html

Tuesday, June 06, 2006. Today we talked about a simple baseball dice game called Big League Baseball. It gives us an opportunity to talk about simple probability models and see how these models reflect real baseball variability. The single die controls the pitch. In Fathom, we simulated the process of throwing balls and strikes and found the approximate probabilities of a strikeout, a walk, and a ball "in-play". Posted by Jim Albert @ 12:32 PM. Comments: Post a Comment.

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bstats.blogspot.com

Statistics and Baseball

Tuesday, June 20, 2006. Situational Data and Streakiness. The last couple of days we're discussed several types of data where people get confused about ability relative to performance. First let's discuss situational stats:. Suppose you have hitting averages (say AVGs or OBPs) for many players. How do we know if the differences in averages are due to real difference in batting abilities or to chance variation? The public is fascinated with long streaks and slumps, the most famous being Joe DiMaggio's 56-...

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