1. What is Consulting
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8/9/2019 1. What is Consulting
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What is consulting
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The function of statistics is tosolve real problems
Do statistics
Subject matter view vs Statisticalview
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Why statistical consulting?
Why people consult statistics?
Finding the righet system to explorea problem , nding the nuts and boltsto do the research
!ow to start identifying a statisticalrelationship?
Where and which are the importantsource of variation
Where are the uncertainty part
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consultancy
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12 Jan 2006 Hort Retreat Brian S Yandell 5
what is statistics?
We may at once admit thatany inference from the artic!lar to the "eneralm!st #e attended withsome de"ree of !ncertainty$
#!t this is not the same as to admit thats!ch inference cannot #e a#sol!tely ri"oro!s$for the nat!re and de"ree of the !ncertainty
may itself #e caa#le of ri"oro!s e%ression&' Sir Ronald (& )isher*1+,5 -he .esi"n of /%erimentsdi"ital&li#rary&adelaide&ed!&a!collsecialfisher
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The "deal Statistical #onsultant andthe Satised #lient
The statistician$sperspective%
The client$s
perspective% Five Dimensions of
&uality%
'ligning expectations%
Ten issues thatrepresentvulnerabilities in theclient(consultantrelationship%
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's)ing *ood &uestions??
'void errors of thethird )ind%
"dentify what youneed to nd out%
Develop ane+ective strategyfor gatheringinformation%
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ules to -ractice .y
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ule /0
NEVERgive advice over the phone%
"t will always be bad
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ule 1
NEVERanswer when as)ed howmany% "t is almost always the wrong 2uestion
The right 2uestion has to do withdening the goals of the experimentTypically, you will have to help the
investigator gure this out%
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ule 3
'lways interrogate the measurement
Systematic sources of measurementvariability abound
"vestigators rarely )now how to 2uantifythem .ut they often can tell you what could be
there
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ule 4 5suggested by 6isa.ernstein7 *et the raw data
8any instruments, vendor(supplied9user(created software :preprocess; the data
in ad hoc, cracult to get :raw data; anddi>cult to deal with when you havethem
e%g% images 12
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ule
Thermodynamics0 Disorder rulesunless you wor) hard to defeat it%So%%%Ta)e nothing for granted
-rovide explicit step by stepinstructions, data format
specications, %%% emember 8urphy
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Some useful things "$velearned 8ost science is about hypothesis
generation, not hypothesis testing
'll scientists have strong priors
'll variation is caused
.eware of the data that aren$t there5suggested by .ill Forrest7
'll replicates are not created e2ual @ou can never )now too much statistics
.ut most of what you learn is silly
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' few more %%%
6isten more, tal) less
'lways provide an :executive summary; ofyour results in a graph or two and a
paragraph or so of text ' little paranoia can be good thing
"t$s better to lead the parade than sweepup after the elephants 5good design is
more important than fancy analysis7 "f you don$t thin) it$s ethical, don$t do it
@our job is to spea) for the data A integrity iseverythingB
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'nd most important %%%
HAVE FUN !
5else why do it?7
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