well this indeed is interesting ... i now know what we can talk about for
the first ENTIRE week of a basic stat class ...
histograms and bar charts
1. a compilation of all the definitions thereof (including greek roots)
2. discussion of whether a "histogram" can be used for depicting a
You may also consult
1. The Penguin Dictionary of Mathematics.
2. REA's Problem Solvers Statistics
dennis roberts wrote:
At 11:24 PM 8/13/00 -0400, Alexander Bogomolny wrote:
Well, the reference to the dictionary consisted of two parts.
The second is in fact inessential. The point is that
On Mon, 14 Aug 2000, Alexander Bogomolny wrote, inter alia:
... If there were alternative definitions, a discussion would be
interesting. At the time of my first post, I was aware only of a
single definition that was found in two mathematics dictionaries and
a statistics book. This is
i would say that the harper collins dictionary of mathematics is wrong
i think most would say that a bar chart has a baseline that is not a
quantitative scale ... and, the order in which the bars are listed is
essentially arbitrary
At 11:43 PM 8/12/00 +, Alexander Bogomolny wrote:
The Harper
The Harper Collins Dictionary of Mathematics gives the following
definitions:
1. Histogram - a figure that represents a frequency distribution,
consisting of contiguous rectangles with width proportional to the
size of the respective class intervals and areas proportional to the
relative
"Jose Ramon G. Albert" wrote:
Try having the points enumerated be the centers of your rectangles
with each rectangle having an AREA of 1/6. Thus the first rectangle
should have its corners at 1.25 and 1.75 (and have 1.5 as its midpoint).
Now since the width of your rectange is 0.5, let the
On 9 Aug 2000 21:26:59 -0700, [EMAIL PROTECTED] (Donald Burrill)
wrote in sci.stat.edu in article
[EMAIL PROTECTED]:
:Sounds as though you are confusing a couple of things, as some of the
:responders to your message have suggested (though none has said it
:explicitly). The idea of "area under
Sheila King wrote:
[cross-posted to sci.stat.edu,sci.stat.math,k12.ed.math]
I'm teaching a GE stat course, my first time teaching stat, and am
having some points of confusion. Here is one of my questions:
Suppose I have a probability distribution as follows:
Sample space:
1.5, 2.0,
Sounds as though you are confusing a couple of things, as some of the
responders to your message have suggested (though none has said it
explicitly). The idea of "area under a curve" applies to a continuous
curve, and thus to continuous distributions. It doesn't make sense for
discrete
On Wed, 9 Aug 2000, dennis roberts wrote in part:
[You could use] dotplots ...
snip, some commentary about dot plots
[or] a simple old fashioned [character-graphics] histogram ...
Histogram of C1 N = 36
MidpointCount
1.5006 **
2.000
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