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Look my statistics test, I might find something

Discussion in 'Houston Rockets: Game Action & Roster Moves' started by RocketfanfromLA, Dec 15, 2002.

  1. RocketfanfromLA

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    Look my statistics for the last 12 games, I didn't count the first 10 games because I think Yao did not have much impact for the first 10 games.

    I did a statistic test using fisher exact probability method . I got the probabilty=0.03.

    That means if I say if Yao's shoot times is more than 1/3 of both Francis and Mobley's shoot times the Rockets will lost the game, the probability i am right is 3%.

    Pls give Yao more shots, at least 1/3 of Francis and Mobley!!!


    Is there any statistican in the rockets game?

    Does they look the data as i prsented below?

    <table border="1" width="88%">
    <tr>
    <td width="27%">Francis and Mobley shoot times</td>
    <td width="18%">Yao shoot times</td>
    <td width="22%">Yao's Proportion</td>
    <td width="33%">Result</td>
    <td width="33%">Team</td>
    </tr>
    <tr>
    <td width="27%">17+18</td>
    <td width="18%">9</td>
    <td width="22%">&lt;1/3</td>
    <td width="33%">Lost</td>
    <td width="33%">LAC</td>
    </tr>
    <tr>
    <td width="27%">23+21</td>
    <td width="18%">13</td>
    <td width="22%">&lt;1/3</td>
    <td width="33%">Lost</td>
    <td width="33%">MEM</td>
    </tr>
    <tr>
    <td width="27%">17+15</td>
    <td width="18%">14</td>
    <td width="22%">&gt;1/3</td>
    <td width="33%">Win</td>
    <td width="33%">Kings</td>
    </tr>
    <tr>
    <td width="27%">17+13</td>
    <td width="18%">11</td>
    <td width="22%">&gt;1/3</td>
    <td width="33%">Win</td>
    <td width="33%">PHI</td>
    </tr>
    <tr>
    <td width="27%">28+0</td>
    <td width="18%">19</td>
    <td width="22%">&gt;1/3</td>
    <td width="33%">Lost</td>
    <td width="33%">Hornet</td>
    </tr>
    <tr>
    <td width="27%">12+0</td>
    <td width="18%">18</td>
    <td width="22%">&gt;1/3</td>
    <td width="33%">Win</td>
    <td width="33%">SAS</td>
    </tr>
    <tr>
    <td width="27%">17+0</td>
    <td width="18%">3</td>
    <td width="22%">&lt;1/3</td>
    <td width="33%">Lost</td>
    <td width="33%">SAC</td>
    </tr>
    <tr>
    <td width="27%">21+0</td>
    <td width="18%">7</td>
    <td width="22%">=1/3</td>
    <td width="33%">Win</td>
    <td width="33%">Blazers</td>
    </tr>
    <tr>
    <td width="27%">18+4</td>
    <td width="18%">4</td>
    <td width="22%">&lt;1/3</td>
    <td width="33%">Lost</td>
    <td width="33%">GSW</td>
    </tr>
    <tr>
    <td width="27%">22+0</td>
    <td width="18%">4</td>
    <td width="22%">&lt;1/3</td>
    <td width="33%">Lost</td>
    <td width="33%">LAC</td>
    </tr>
    <tr>
    <td width="27%">16+0</td>
    <td width="18%">11</td>
    <td width="22%">&gt;1/3</td>
    <td width="33%">Win</td>
    <td width="33%">Wizards</td>
    </tr>
    <tr>
    <td width="27%">20+18</td>
    <td width="18%">12</td>
    <td width="22%">&gt;1/3</td>
    <td width="33%">Los</td>
    <td width="33%">Mavericks</td>
    </tr>
    </table>
    <table border="1" width="100%">
    <tr>
    <td width="33%">¡¡</td>
    <td width="33%">Win</td>
    <td width="34%">Lost</td>
    </tr>
    <tr>
    <td width="33%">&gt;=1/3</td>
    <td width="33%">4</td>
    <td width="34%">2</td>
    </tr>
    <tr>
    <td width="33%">&lt;1/3</td>
    <td width="33%">0</td>
    <td width="34%">6</td>
    </tr>
    </table>
    <p>P=0.03</p>
    <p>Fisher Exact Probability Method</p>
     
  2. lancet

    lancet Contributing Member

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    One big flaw in your chart would be that Mobley missed 6 of the games! Just replot your chart, with KT replacing Mobley when he is not playing. You will convince yourself even more...
     
  3. RocketfanfromLA

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  4. weijiezhang

    weijiezhang Member

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    You need more samples/games to prove this statistically. But I believe it is TRUE.
     
  5. zenithnadir

    zenithnadir Member

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    your statistics lend evidence to a correlation, not to cause and effect.
     

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