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Re: [RC] Statistics but with a bigger sample - better results - Heidi Smith

In the first analysis - it was assumed that a full season of
rides across the whole country would be enough to give a
large enough sample for analysis.  Truman ran this and said
that the variability of the samples in the region was large
enough that it was impossible to tell any difference between
them.


One also has to look to see if there is any validity in the grouping of the
data.  Grouping by regions is convenient, but does it really group "like"
rides?  Just here in the NW, we have dry high desert rides that are nearly
"flat tracks," highly technical wooded rides, one ride on the beach, rides
where the water buckets freeze at night and you never take your coat off all
day (and some folks use butt rugs on their horses to keep them from chilling
out), and every now and again, a hot, humid ride more like those seen in
other parts of the country.  I'm sure there is this sort of variation in
other regions as well.  (Certainly in West region--with coastal rides and
Nevada rides...)  So really, regional data is meaningless from a perspective
of learning what happens at particular kinds of rides.  What you need to
have any meaningful sort of statistics is a grouping of data with some sort
of relationship--hot and humid, cold, rocky, not rocky, high elevation, low
elevation, flat, steep, whatever.

Heidi


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Replies
[RC] Statistics but with a bigger sample - better results, Michael Maul