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  #1  
Old 01-16-2006, 09:19 PM
kak1154 kak1154 is offline
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Default Least common PPs (lc/nc)

I was just checking out my PT stats, and over ~22K hands, AA is my least common PP. Not only that, but it is followed IN ORDER by KK, QQ, JJ, & TT. My list goes like this:

AA - 53
KK - 62
QQ - 73
JJ - 78
TT - 83
99 - 118
88 - 105
77 - 93
66 - 94
55 - 97
44 - 103
33 - 102
22 - 93

Kinda weird, huh? What are your most/least common PPs?
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  #2  
Old 01-16-2006, 10:22 PM
nuts nuts is offline
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Default Re: Least common PPs (lc/nc)

standard deviation + small sample size.
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  #3  
Old 01-16-2006, 11:08 PM
Gauss Gauss is offline
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Default Re: Least common PPs (lc/nc)

[ QUOTE ]
standard deviation + small sample size.

[/ QUOTE ]

Wrong. There is plenty of data to use a chi-squared test on this data. This even ignores the AA-TT ordering that he has observed.

From some rough and ready calculations I have done, it is highly improbable that a fair deal will result in the card distribution as outlined in the first post.
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  #4  
Old 01-16-2006, 11:13 PM
Scottery Scottery is offline
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Default Re: Least common PPs (lc/nc)

mines the opposite (lucky for me)

AA -168
KK - 161
66 - 158
JJ - 155
99 - 154
all the way down to TT - 136. Just the way it goes i guess
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  #5  
Old 01-16-2006, 11:17 PM
Banks2334 Banks2334 is offline
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Default Re: Least common PPs (lc/nc)

[ QUOTE ]


From some rough and ready calculations I have done, it is highly improbable that a fair deal will result in the card distribution as outlined in the first post.

[/ QUOTE ]
From some rough and ready calculations, you are a noob.
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  #6  
Old 01-16-2006, 11:49 PM
CallMeIshmael CallMeIshmael is offline
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Location: Tis the season, imo
Posts: 7,849
Default Re: Least common PPs (lc/nc)

[ QUOTE ]
Wrong. There is plenty of data to use a chi-squared test on this data. This even ignores the AA-TT ordering that he has observed.

From some rough and ready calculations I have done, it is highly improbable that a fair deal will result in the card distribution as outlined in the first post.

[/ QUOTE ]


HAHAHAHAHAHHAHAHAHAHAHAHHAHA
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  #7  
Old 01-17-2006, 12:23 AM
OrangeKing OrangeKing is offline
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Posts: 683
Default Re: Least common PPs (lc/nc)

[ QUOTE ]
[ QUOTE ]
standard deviation + small sample size.

[/ QUOTE ]

Wrong. There is plenty of data to use a chi-squared test on this data. This even ignores the AA-TT ordering that he has observed.

From some rough and ready calculations I have done, it is highly improbable that a fair deal will result in the card distribution as outlined in the first post.

[/ QUOTE ]

It's amazing that you set a null hypothesis before getting this data, and then a sample just showed up for you!
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  #8  
Old 01-17-2006, 12:31 AM
Gauss Gauss is offline
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Join Date: Jan 2006
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Default Re: Least common PPs (lc/nc)

[ QUOTE ]
[ QUOTE ]
Wrong. There is plenty of data to use a chi-squared test on this data. This even ignores the AA-TT ordering that he has observed.

From some rough and ready calculations I have done, it is highly improbable that a fair deal will result in the card distribution as outlined in the first post.

[/ QUOTE ]


HAHAHAHAHAHHAHAHAHAHAHAHHAHA

[/ QUOTE ]


Please elaborate.
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  #9  
Old 01-17-2006, 12:38 AM
Gauss Gauss is offline
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Default Re: Least common PPs (lc/nc)

[ QUOTE ]

It's amazing that you set a null hypothesis before getting this data, and then a sample just showed up for you!

[/ QUOTE ]

The null hypothesis is that it is equally likely that each rank pair occur. Is there something wrong with this reasoning?
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  #10  
Old 01-17-2006, 12:54 AM
OrangeKing OrangeKing is offline
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Posts: 683
Default Re: Least common PPs (lc/nc)

[ QUOTE ]
[ QUOTE ]

It's amazing that you set a null hypothesis before getting this data, and then a sample just showed up for you!

[/ QUOTE ]

The null hypothesis is that it is equally likely that each rank pair occur. Is there something wrong with this reasoning?

[/ QUOTE ]

You should come up with the hypothesis, THEN gather data, rather than the other way around. Otherwise you have a bias problem, since this sample was posted only because it was weird.
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