- Prof Dev
TigerSAMPLING is almost identical to TigerSTAT. However in the TigerSAMPLING game there are additional questions that emphasize BIAS and GENERALIZABILITY. These games collect data and explore models for estimating the age of a Siberian tiger. In this game, students act as researchers on a national preserve where they are expected to catch tigers, collect data, analyze their data (using simple linear regression on transformed data), and draw appropriate conclusions
... if you can’t distinguish a solid statistical argument from a slick but bogus one, you’ll be an easy mark for disingenuous ideologues and hucksterish policy entrepreneurs of all stripes.
Kathleen Geier (1963 - )
by Eveline Pye
They need to trust you
describe their reasoning
in detail. Each premise
must be laid bare.
“Why did you do that?
Where did that number
I follow each step
searching for the wrong idea,
the mistaken concept.
Sometimes, all I gift
is one new thought like….
“Dividing can make
a number bigger”,
and it’s as if I see
their minds inflate.
It’s like blowing air
into someone else’s lungs.
You have to stop
as soon as you can.
You need them
to breathe again
- all on their own.
by Eveline Pye
Have you noticed that none of your stickhands
has any teeth? Well, I’m sure they do
put a lot of sugar in their tea, but do you not think
it might be something to do with the job,
poised above tanks,
jabbing spaces between cathodes
while acid fumes hit them in the face?
You’re not convinced. Well here it is.
I can be very scientific when I want to be.
The control group was matched for age, sex, tribal origin
and grade within the company. A Mann Whitney U-test was
carried out and the null hypothesis was rejected, resulting in
the conclusion that the stickhands have significantly fewer
teeth than the control group. Your attention is drawn to the
Dental Surgeon’s report on page 47:
THESE MEN HAVE NO TEETH
The management has to pay compensation
but I get big white wally smiles
every time I set foot in the tankhouse.
by Lawrence Mark Lesser
Who had contact? Who gave the money?
How did they pick who was studied?
What was the setting? What was asked?
In what other ways did groups contrast?
What was the size of the effects –
Was it important in a practical sense?
In comparing the deaths of one hospital with those of another, any statistics are justly considered absolutely valueless which do not give the ages, the sexes and the diseases of all the cases.
Florence Nightingale (1820 - 1910)