Sorry about the spelling -

will evans
user experience architect
[EMAIL PROTECTED]
617.281.1281


On Nov 27, 2007, at 10:07 PM, William Evans <[EMAIL PROTECTED]> wrote:

> Your example is not stats. A sample set of 6 is called anecdote.  
> Turning it into a percentage is not stats. Their I'd no amount of  
> boostrapping that will make it so either. If you are not using a  
> statician fluent in regression analysis and using spss or SAS - then  
> you cannot lay claim to doing quant. Numbers dont lie. People lie.  
> People also ask the wrong questions and then interpret the answers  
> the wrong way bases on assumptions, bias, ignorance or stupidity but  
> properly done real quant done by qualified people is eminently  
> useful. (IMHO)
>
> will evans
> user experience architect
> [EMAIL PROTECTED]
> 617.281.1281
>
>
> On Nov 27, 2007, at 8:46 PM, Katie Albers <[EMAIL PROTECTED]>  
> wrote:
>
>> At 6:10 PM -0700 11/27/07, Robert Hoekman, Jr. wrote:
>>>> Do you think analyzing data using tools like Omniture and  
>>>> Coremetrics
>>>> should
>>>> fall under the user experience umbrella?
>>>
>>>
>>> Definitely falls under UX. So much can be learned about human  
>>> behavior from
>>> stats, it's unreal. And stats don't lie, which is more than we can  
>>> say about
>>> humans (even when these "lies" are unintentional).
>>>
>>> -r-
>>
>> Oh dear. Oh my. If you're consulting a statistician who can't make
>> any set of data say anything you want them to say then you should
>> find a better statistician. Of course statistics lie. Statistics
>> properly manipulated can tell you just about anything about anyone in
>> any situation. It's like the old joke about the difference between a
>> bookkeeper and an accountant: When you ask how much money you made
>> last year a bookkeeper will answer the question and the accountant
>> will ask you how much money you want to have made.
>>
>> Data don't have meaning without context and context is amazingly
>> flexible. To give just a few examples that leap to my mind whenever
>> someone says that statistics don't lie I cite the following:
>>
>> A study early in the co-education process of a previously all men's
>> college that said 1/3 of all women admitted had married faculty
>> members. Mind you there were only 6 women who'd been admitted and the
>> social life of the college was all frat based and they imported girls
>> for events, thank you very much. Both the male faculty in question
>> were also brand new PhDs.
>>
>> As we all know, 50% of all marriages end in divorce. Except that they
>> don't and they never have. One year in the early 60s a study was done
>> which noticed that in a particular year there would be 50% as many
>> divorces as marriages. You'll never find anyone (except me) who will
>> call your attention to the fact that those data are unrelated to the
>> conclusion.
>>
>> The point is not that the numbers are wrong, nor are they apparently
>> "false" but both of them are intended to elucidate the behavior of a
>> certain group of people under certain circumstances but tell us
>> absolutely nothing about human behavior except that in the US (at
>> least) we tend to believe things if there are numbers attached to it.
>>
>> There are a million examples...many much more pointed than
>> these...and books are constantly being written on the application and
>> misapplication of statistics, but the central fact remains: If you
>> want someone to believe what you're saying, find a number that seems
>> to support it.
>>
>> Katie
>> -- 
>>
>> ----------------
>> Katie Albers
>> [EMAIL PROTECTED]
>> ________________________________________________________________
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