Re: Conclusion

On Apr 20, 7:45 am, bi...@xxxxxxxxxxxxx wrote:
On Apr 20, 12:03 am, Throws like Mary <yank_ees_s...@xxxxxxxxx> wrote:



On Apr 19, 5:48 pm, Christina <bi...@xxxxxxxxxxxxx> wrote:

On Sat, 18 Apr 2009 15:22:46 -0500, OceanView <F...@xxxxxxxxxx> wrote:
Christina <bi...@xxxxxxxxxxxxx> wrote in
news:fvscu4lh0ckp06rp4vfe1qf2htueaq137i@xxxxxxx:

Let us say that a single has the value of 1.  If this is the case,
what would the true value of a double, triple, homerun be?  I am just
annoyed lately of slugging percentage, it seems that a triple is very
similar to a double, is it really worth 150% of a double?  Is it
really a 1:2:3:4 ratio for total bases, if not what do you think is
more represantive, maybe we could come up with a better version of
slugging percentage?

Bottom line: 72 percent of all statistics are irrelevant, 81 percent of
which are made-up on the spot, and 99 percent of baseball fans disagree 75
percent of the time.

Ocean is this really true or a joke?

90% of statistics are true.- Hide quoted text -

- Show quoted text -

But throws if a statistic is the numbers of things that happened isn't
it always true, it is just a question of how it is to be interpreted
or if it has value?  For instance Throws let us say I make up a
statistic walk per triple ratio, a player has 50 walks and 5 triples,
I give him a 10.0.  This is true, he has 10 walks per triple, it is a
silly satisitic but it is true none the less if that makes sesne?


Generally speaking, yes. You are referring to the broader definition
of a statistic: numerical data; observable data. Observation
statistics are generally true on their face, provided no one questions
the methods or the data itself (someone might question Bond's HR
totals, etc.) Hence my joke: 90% of statistics are true. Most
"statistics" disputed in this group are actually disputes over
inferences, not data.

The narrow definition of statistics is an inference made about a
population based on a sample population. (This gives rise to the
frequent refrain about "sample size." It is a fallacy if applied to
the broad definition above, absent some form of inductive inference,
such as a prediction.)

Does that make sense?
.

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